Journals starting with avss

AVSS10 * *AVSS
* Accurate and Efficient Background Subtraction by Monotonic Second-Degree Polynomial Fitting
* Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow
* Activity Monitoring System for Real Elderly at Home: Validation Study, An
* Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking
* Affinity Propagation Feature Clustering with Application to Vehicle Detection and Tracking in Road Traffic Surveillance
* Audio-Visual Co-Training for Vehicle Classification
* Authentication Mechanism Using Chinese Remainder Theorem for Efficient Surveillance Video Transmission, An
* Automatic Detection and Reading of Dangerous Goods Plates
* Automatic Inter-image Homography Estimation from Person Detections
* Background Subtraction under Sudden Illumination Changes
* Bayesian Framework for Online Interaction Classification, A
* Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors
* Bringing Richer Information with Reliability to Automated Traffic Monitoring from the Fusion of Multiple Cameras, Inductive Loops and Road Maps
* Counting People in Crowded Environments by Fusion of Shape and Motion Information
* Crowd Counting Using Group Tracking and Local Features
* Dynamic Sensor Selection for Single Target Tracking in Large Video Surveillance Networks
* Dynamics Based Trajectory Segmentation for UAV videos
* Example-Based Color Vehicle Retrieval for Surveillance
* Exploiting Geometric Restrictions in a PTZ Camera for Finding Point-Correspondences Between Configurations
* Extracting Pathlets from Weak Tracking Data
* Fast Background Initialization with Recursive Hadamard Transform
* Fast People Counting Using Head Detection From Skeleton Graph
* Fast People Counting Using Head Detection From Skeleton Graph
* Framework Dealing with Uncertainty for Complex Event Recognition, A
* Framework for an Event Driven Video Surveillance System, A
* Functionality Delegation in Distributed Surveillance Systems
* Global Identification of Tracklets in Video Using Long Range Identity Sensors
* Group Level Activity Recognition in Crowded Environments across Multiple Cameras
* Histogram-Based Training Initialisation of Hidden Markov Models for Human Action Recognition
* Human Action Recognition and Localization in Video Using Structured Learning of Local Space-Time Features
* Human Action Recognition using a Hybrid NTLD Classifier
* Human Localization in a Cluttered Space Using Multiple Cameras
* Human Motion Change Detection by Hierarchical Gaussian Process Dynamical Model with Particle Filter
* Incremental Learning Approach for Events Detection from Large Video Dataset
* Incremental Mosaicking of Images from Autonomous, Small-Scale UAVs
* Intelligent Sensor Information System For Public Transport: To Safely Go ...
* Intelligent Video Systems: A Review of Performance Evaluation Metrics that Use Mapping Procedures
* Learning Dense Optical-Flow Trajectory Patterns for Video Object Extraction
* Learning Directed Intention-driven Activities using Co-Clustering
* Learning of Scene-Specific Object Detectors by Classifier Co-Grids
* License Plate Detection Using Local Structure Patterns
* Local Abnormality Detection in Video Using Subspace Learning
* Local Directional Pattern (LDP): A Robust Image Descriptor for Object Recognition
* Local Directional Pattern Variance (LDPv) Based Face Descriptor for Human Facial Expression Recognition, A
* Local Feature Based Person Reidentification in Infrared Image Sequences
* Method Based on the Indirect Approach for Counting People in Crowded Scenes, A
* Method for Counting People in Crowded Scenes, A
* MuHAVi: A Multicamera Human Action Video Dataset for the Evaluation of Action Recognition Methods
* Multi Camera-Based Person Tracking Using Region Covariance and Homography Constraint
* Multi-Camera Analysis of Soccer Sequences
* Multi-Modal Object Tracking using Dynamic Performance Metrics
* Multi-pose Face Recognition for Person Retrieval in Camera Networks
* Occlusion-Aided Weights for Local Stereo Matching
* On the Evaluation of Background Subtraction Algorithms without Ground-Truth
* Performance Evaluation of a People Tracking System on PETS2009 Database
* Person Re-identification Using Haar-based and DCD-based Signature
* Person Re-identification Using Spatial Covariance Regions of Human Body Parts
* PETS2010 and PETS2009 Evaluation of Results Using Individual Ground Truthed Single Views
* PETS2010: Dataset and Challenge
* Pose Estimation of Interacting People using Pictorial Structures
* Privacy-Aware Object Representation for Surveillance Systems
* Real Time Human Action Recognition in a Long Video Sequence
* Real-Time 3D Human Pose Estimation from Monocular View with Applications to Event Detection and Video Gaming
* Recognizing and Localizing Individual Activities through Graph Matching
* Resource-Efficient Salient Foreground Detection for Embedded Smart Cameras by Tracking Feedback
* Robust Dynamic Super Resolution under Inaccurate Motion Estimation
* Robust Real Time Moving People Detection in Surveillance Scenarios
* Safe Fault Tolerant Multi-view Approach for Vision-Based Protective Devices, A
* Simultaneous Object Recognition and Localization in Image Collections
* Soccer Player Activity Recognition by a Multivariate Features Integration
* Spatio-Temporal Optical Flow Analysis for People Counting
* Spatiotemporal Motion-Vector Filter for Object Tracking on Compressed Video, A
* Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach
* Subjective Logic Based Hybrid Approach to Conditional Evidence Fusion for Forensic Visual Surveillance
* Surveillance Camera Calibration from Observations of a Pedestrian
* SVM-Based Biometric Authentication Using Intra-Body Propagation Signals
* Task-Oriented Object Tracking in Large Distributed Camera Networks
* Thirteen Hard Cases in Visual Tracking
* Tracking People with a 360-Degree Lidar
* Traffic Abnormality Detection through Directional Motion Behavior Map
* Trajectory Based Activity Discovery
* TrustCAM: Security and Privacy-Protection for an Embedded Smart Camera Based on Trusted Computing
* Ultra-Low-Power Contrast-Based Integrated Camera Node and its Application as a People Counter, An
* Video Activity Extraction and Reporting with Incremental Unsupervised Learning
85 for AVSS10

AVSS12 * *AVSS
* Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed Video Surveillance System
* Abnormal Object Detection Using Feedforward Model and Sequential Filters
* Action Recognition from Experience
* Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories
* Adaptive Autoregressive Logarithmic Search for 3D Human Tracking
* Analyzing the Subspaces Obtained by Dimensionality Reduction for Human Action Recognition from 3d Data
* Angular Heuristics for Coverage Maximization in Multi-camera Surveillance
* Appearance-Based Re-identification of Humans in Low-Resolution Videos Using Means of Covariance Descriptors
* Automatic Audio-Visual Fusion for Aggression Detection Using Meta-information
* Automatic Calibration of Multiple Stationary Laser Range Finders Using Trajectories
* Background Subtraction for Real-Time Video Analytics Based on Multi-hypothesis Mixture-of-Gaussians
* Baseline Results for Violence Detection in Still Images
* Boosting Face Recognition in Real-World Surveillance Videos
* Boosting Multi-hypothesis Tracking by Means of Instance-Specific Models
* CLUMOC: Multiple Motion Estimation by Cluster Motion Consensus
* Clustering Motion for Real-Time Optical Flow Based Tracking
* Collaborative Sparse Approximation for Multiple-Shot Across-Camera Person Re-identification
* Color Constancy Using Shadow-Based Illumination Maps for Appearance-Based Person Re-identification
* Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification
* Combining Infrared and Visible Images Using Novel Transform and Statistical Information
* Combining Neural Networks and Fuzzy Systems for Human Behavior Understanding
* Combining Retrieval and Classification for Real-Time Face Recognition
* Contextual Constraints for Person Retrieval in Camera Networks
* Contextual Statistics of Space-Time Ordered Features for Human Action Recognition
* Counting People in the Crowd Using a Generic Head Detector
* Crowd Density Estimation Using Multi-class Adaboost
* Crowd Event Perception Based on Spatio-temporal Viscous Fluid Field
* Dana36: A Multi-camera Image Dataset for Object Identification in Surveillance Scenarios
* Detecting People Carrying Objects Utilizing Lagrangian Dynamics
* Detection and Summarization of Salient Events in Coastal Environments
* Detection, Segmentation, and Tracking of Moving Objects in UAV Videos
* Discovering Activities and Their Temporal Significance
* Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured by Moving Camera, An
* Ensemble of Rejecting Classifiers for Anomaly Detection of Audio Events, An
* Fast Crowd Density Estimation in Surveillance Videos without Training
* Generic Framework for Video Understanding Applied to Group Behavior Recognition, A
* Histograms of Optical Flow Orientation for Visual Abnormal Events Detection
* Human Action Recognition in Large-Scale Datasets Using Histogram of Spatiotemporal Gradients
* Human Action Recognition with Attribute Regularization
* Improved Relational Feature Model for People Detection Using Histogram Similarity Functions
* Interest Point Selection with Spatio-temporal Context for Realistic Action Recognition
* Lightweight and Robust Shadow Removal for Foreground Detection
* Moving Object Extraction Using Compressed Domain Features of H.264 INTRA Frames
* Multi-scale Fusion of Texture and Color for Background Modeling
* Multimodal and Multi-task Audio-Visual Vehicle Detection and Classification
* Multiple Person Tracking by Spatiotemporal Tracklet Association
* Neuromorphic Bayesian Surprise for Far-Range Event Detection
* Online Learning of Activities from Video
* Online Multi-person Tracking by Tracker Hierarchy
* Online Multiple Instance Joint Model for Visual Tracking
* Pairwise Threshold for Gaussian Mixture Classification and Its Application on Human Tracking Enhancement
* People Count Estimation In Small Crowds
* People Counting across Multiple Cameras for Intelligent Video Surveillance
* Performance Evaluation of Multi-camera Visual Tracking
* Person Re-identification by Efficient Impostor-Based Metric Learning
* Probabilistic Handling of Merged Detections in Multi Target Tracking
* Qualitative Evaluation of Detection and Tracking Performance
* Real-Time Activity Search of Surveillance Video
* Real-Time Multi-human Tracking Using a Probability Hypothesis Density Filter and Multiple Detectors
* Real-Time Pedestrian Tracking with Bacterial Foraging Optimization
* Recovering People Tracking Errors Using Enhanced Covariance-Based Signatures
* Road Boundary Detection in Challenging Scenarios
* Robust Algorithm for the Detection of Vehicle Turn Signals and Brake Lights, A
* Robust Foreground and Abandonment Analysis for Large-Scale Abandoned Object Detection in Complex Surveillance Videos
* Robust Orientation and Appearance Adaptation for Wide-Area Large Format Video Object Tracking
* Robust Traffic State Estimation on Smart Cameras
* Role of Spatiotemporal Oriented Energy Features for Robust Visual Tracking in Video Surveillance
* Selective Background Adaptation Based Abnormal Acoustic Event Recognition for Audio Surveillance
* Semi-supervised Gait Recognition Based on Self-Training
* Similarity Metric for Multimodal Images Based on Modified Hausdorff Distance, A
* Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments
* SLTP: A Fast Descriptor for People Detection in Depth Images
* Spatio-temporal LBP Based Moving Object Segmentation in Compressed Domain
* Splitting Gaussians in Mixture Models
* Stereo-Based Framework for Pedestrian Detection with Partial Occlusion Handling
* String Features: Geodesic Sweeping Detection and Quasi-invariant Time-Series Description
* Suppression of Detection Ghosts in Homography Based Pedestrian Detection
* Towards Gesture-Based User Authentication
* Tracking Blurred Object with Data-Driven Tracker
* Unsupervised Discovery of Activities and Their Temporal Behaviour
* Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation
* View Invariant Appearance-Based Person Reidentification Using Fast Online Feature Selection and Score Level Fusion
* Water Filling: Unsupervised People Counting via Vertical Kinect Sensor
84 for AVSS12

AVSS13 * *AVSS
* Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance
* Activity recognition and localization on a truck parking lot
* Activity recognition and uncertain knowledge in video scenes
* Analysis control middleware for large-scale video surveillance
* APFel: The intelligent video analysis and surveillance system for assisting human operators
* Audio surveillance using a bag of aural words classifier
* Automatic lane detection from vehicle motion trajectories
* automatic system for sports analytics in multi-camera tennis videos, An
* AWARE: A video monitoring library applied to the Air Traffic Control context
* Binocular video object tracking with fast disparity estimation
* Circularity and self-similarity analysis for the precise location of the pupils
* Co-occurrence-based adaptive background model for robust object detection
* Conditional Bayesian networks for action detection
* Curvelet fusion of panchromatic and SAR satellite imagery using fractional lower order moments
* Detection and tracking of groups in crowd
* distributed heterogeneous sensor network for tracking and monitoring, A
* Edge-segment-based Background Modeling: Non-parametric online background update
* efficient pixel-wise method for moving object detection in complex scenes, An
* Efficient representation of distributions for background subtraction
* Energy-aware and robust task (re)assignment in embedded smart camera networks
* Energy-transfer features and their application in the task of face detection
* Enforcing privacy through usage-controlled video surveillance
* Enhancing human detection using crowd density measures and an adaptive correction filter
* Evaluation of a monitoring system for event recognition of older people
* Evaluation of multiple motion models for multiple pedestrian visual tracking
* Extending a local matching face recognition approach to low-resolution video
* Face detection method based on photoplethysmography
* Frame-by-frame crowd motion classification from affine motion models
* Full body human attribute detection in indoor surveillance environment using color-depth information
* Gait recognition based on marker-less 3D motion capture
* Generalized local N-ary patterns for texture classification
* Human Action Retrieval via efficient feature matching
* Improved action recognition by combining multiple 2D views in the bag-of-words model
* improved evolutionary algorithm for fundamental matrix estimation, An
* Improvement of the real-time gesture analysis by a new mother wavelet and the application for the navigation inside a scale-one 3D system
* Keynote lecture 2: Video synopsis
* Keynote lecture 3: On gait and soft biometrics for surveillance
* Knowledge modeling for privacy-by-design in smart surveillance solution
* Learning a bag of features based nonlinear metric for facial similarity
* Locality based discriminative measure for multiple-shot person re-identification
* Localized anomaly detection via hierarchical integrated activity discovery
* Meta-tracking for video scene understanding
* Multi-shot SURF-based person re-identification via sparse representation
* Multicamera object detection and tracking with object size estimation
* Multiple cue indexing and summarization of surveillance video
* multisensor surveillance system for Automated Border Control (eGate), A
* Online multiperson tracking with occlusion reasoning and unsupervised track motion model
* Online tracking parameter adaptation based on evaluation
* Pedestrian detection in single frame by edgelet-LBP part detectors
* People counting across spatially disjoint cameras by flow estimation between foreground regions
* people counting system for business analytics, A
* Person tracking-by-detection with efficient selection of part-detectors
* proposal of a solution for age band prediction from human faces, A
* Reading between the turns: Statistical modeling for identity recognition and verification in chats
* Real time video fire detection using spatio-temporal consistency energy
* Real-time acquisition of high quality face sequences from an active pan-tilt-zoom camera
* Real-time online camera synchronization for volume carving on GPU
* Recognition of signed expressions observed by Kinect Sensor
* Reducing camera vibrations and photometric changes in surveillance video
* Reference-based person re-identification
* Resolution-aware Constrained Local Model with mixture of local experts
* Robust video-based face recognition by sequential sample consensus
* Selective attention automatic focus for cognitive crowd monitoring
* Semi-supervised multi-feature learning for person re-identification
* Sensing floors for privacy-compliant surveillance of wide areas
* Sound source localization for video surveillance camera
* Sparsity-Driven Approach to Multi-Camera Tracking in Visual Sensor Networks, A
* Spatial mixture of Gaussians for dynamic background modelling
* Stationary foreground detection for video-surveillance based on foreground and motion history images
* Structured learning for detection of social groups in crowd
* Study on algorithm for panoramic image basing on high sensitivity and high resolution panoramic surveillance camera
* Superpixel-based segmentation of moving objects for low bitrate ROI coding systems
* System and algorithms on detection of objects embedded in perspective geometry using monocular cameras
* Tamper detection for active surveillance systems
* Towards real-time and low-latency video object tracking by linking tracklets of incomplete detections
* Tree-based vehicle color classification using spatial features on publicly available continuous data
* Unsupervised online learning of visual focus of attention
* Using face morphing to protect privacy
* Vehicle dimensions estimation scheme using AAM on stereoscopic video
* Vehicle logo recognition based on Bag-of-Words
* Vehicle make and model recognition using symmetrical SURF
* Video segmentation with spatio-temporal tubes
83 for AVSS13

AVSS14 * *AVSS
* Abnormal event detection using local sparse representation
* Adaptive cartooning for privacy protection in camera networks
* algorithm for the detection of vessels in aerial images, An
* ASEV: Automatic situation assessment for event-driven video analysis
* Automated detection of cars in transmission X-ray images of freight containers
* Background subtraction in people detection framework for RGB-D cameras
* Bit allocation for quality scalability coding of H.264/SVC
* Camera motion detection for mobile smart cameras using segmented edge-based optical flow
* Cascade classifiers trained on gammatonegrams for reliably detecting audio events
* Close range vehicle detection and tracking by vehicle lights
* Complex algorithm optimization through probabilistic search of its configuration tree
* Complex threat detection: Learning vs. rules, using a hierarchy of features
* Computation scalable disparity estimation for delay sensitive 3D video surveillance system
* Computation strategies for volume local binary patterns applied to action recognition
* Context-based object-of-interest detection for a generic traffic surveillance analysis system
* Counting people by clustering person detector outputs
* Dense depth maps-based human pose tracking and recognition in dynamic scenes using ridge data
* Detection of anomalous driving behaviors by unsupervised learning of graphs
* Dual frame rate motion detection for memory- and energy-constrained surveillance systems
* Effective license plate detection using fast candidate region selection and covariance feature based filtering
* Energy efficient image transmission using wireless embedded smart cameras
* Evaluation of object segmentation to improve moving vehicle detection in aerial videos
* Exploiting the deep learning paradigm for recognizing human actions
* Fast, robust and automatic 3D face model reconstruction from videos
* Formant-based acoustic features for cow's estrus detection in audio surveillance system
* Full weighting Hough Forests for object detection
* Generalized cross-correlation based noise robust abnormal acoustic event localization utilizing non-negative matrix factorization
* Global tracker: An online evaluation framework to improve tracking quality
* HAck: A system for the recognition of human actions by kernels of visual strings
* Human activity recognition in multiview video
* Image enhancement for extremely low light conditions
* Improved color and intensity patch segmentation for human full-body and body-parts detection and tracking
* Improving person re-identification by viewpoint cues
* Keynote lecture 1: Video analysis of human body
* Keynote lecture 2: Riemannian manifolds, kernels and learning
* Keynote lecture 3: Intelligent transport systems (ITS) for next generation with advanced surveillance
* Local anomaly detection in crowded scenes using Finite-Time Lyapunov Exponent based clustering
* Localization accuracy of interest point detectors with different scale space representations
* Long-term object tracking for parked vehicle detection
* low-energy video event data recorder using dual image/video codec, A
* Maximizing face recognition performance for video data under time constraints by using a cascade
* MoBio-LivDet: Mobile biometric liveness detection
* Modeling crowd motions for abnormal activity detection
* MRF based abnormal event detection approach using motion and appearance features, An
* Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition
* Multicamera trajectory analysis for semantic behaviour characterisation
* Nonparametric state machine with multiple features for abnormal object classification
* Occlusion-aware 3D multiple object tracker with two cameras for visual surveillance
* Online Bayesian learning and classification of ship-to-ship interactions for port safety
* Pedestrian zone anomaly detection by non-parametric temporal modelling
* PETS 2014: Dataset and challenge
* Real-time heads-up display detection in video
* Real-time life logging via a depth silhouette-based human activity recognition system for smart home services
* Real-time people counting from depth imagery of crowded environments
* Regularised region-based Mixture of Gaussians for dynamic background modelling
* reliable string kernel based approach for solving queries by sketch, A
* Representing visual appearance by video Brownian covariance descriptor for human action recognition
* Research on high resolution & high sensitivity panoramic surveillance system
* Scale preserving PTZ tracking with size estimation using tilt sensory data
* Scene geometry from moving objects
* Scene model for video traffic analysis
* Silhouettes versus skeletons in gesture-based authentication with Kinect
* soft-biometrics dataset for person tracking and re-identification, A
* spatiotemporal background extractor using a single-layer codebook model, A
* SPN2: Single-sided privacy preserving nearest neighbor and its application to face recognition
* Surface UP-SR for an improved face recognition using low resolution depth cameras
* time pooled track kernel for person identification, A
* TrustEYE.M4: Protecting the sensor: Not the camera
* Unattended object detection based on edge-segment distributions
* Vehicle licence plate recognition using super-resolution technique
* vision assisted vehicle navigation technique based on topological map construction and scene recognition, A
* Visual surveillance briefing system: Event-based video retrieval and summarization
73 for AVSS14

AVSS15 * *AVSS
* Abnormal behaviour detection on queue analysis from stereo cameras
* Action recognition in video using a spatial-temporal graph-based feature representation
* Adaptive pooling over multiple trajectory attributes for action recognition
* annotation-free method for evaluating privacy protection techniques in videos, An
* ARGOS: Venice Boat Classification
* Articulated pose estimation via multiple mixture parts model
* Automatic configuration and calibration of modular sensing floors
* Automatic detection of long term parked cars
* Automatic vehicle tracking and recognition from aerial image sequences
* Balancing robustness and information abundance via self-diagnosing in traffic surveillance video analysis
* Car crashes detection by audio analysis in crowded roads
* Change detection on light field for active video surveillance
* Coalition formation for distributed tracking in wireless camera networks
* Collaboration and spatialization for an efficient multi-person tracking via sparse representations
* Collaborative multi-camera face recognition and tracking
* comparative view on exemplar tracking-by-detection approaches, A
* Data-augmentation for reducing dataset bias in person re-identification
* Detecting road user actions in traffic intersections using RGB and thermal video
* Detection of entry and exit zones in image sequences for automatic traffic analysis
* Don't overlook the human! Applying the principles of cognitive systems engineering to the design of intelligent video surveillance systems
* Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance
* Driver aggressiveness detection using visual information from forward camera
* Dynamic Bayesian Network modeling for self- and cross-correcting tracking
* Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields
* Dynamic focus control for preventing motion blur
* Efficient 24/7 object detection in surveillance videos
* end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement, An
* Enhanced gesture-based human-computer interaction through a Compressive Sensing reduction scheme of very large and efficient depth feature descriptors
* Ensembles of exemplar-SVMs for video face recognition from a single sample per person
* Evaluating template rescaling in short-term single-object tracking
* Evaluation of face recognition technologies for identity verification in an eGate based on operational data of an airport
* Exploiting 3D geometric primitives for multicamera pedestrian detection
* Fusion of spatially constrained attributes with kernelized ranking for person re-identification
* Human action recognition using an improved string edit distance
* Impact of resolution and image quality on video face analysis
* Improved face recognition by combining information from multiple cameras in Automatic Border Control system
* Interaction analysis through fuzzy temporal logic: Extensions for clustering and parameter learning
* Large scale monitoring of crowds and building utilisation: A new database and distributed approach
* Latent subcategory models for pedestrian detection with partial occlusion handling
* Learning relative photometric differences of pairs of cameras
* Maximum likelihood Linear Dimension Reduction of heteroscedastic feature for robust Speaker Recognition
* Meeting detection in video through semantic analysis
* Minimizing hallucination in histogram of Oriented Gradients
* Modified particle filtering using foreground separation and confidence for object tracking
* MORF: Multi-Objective Random Forests for face characteristic estimation
* Motion propagation detection association for multi-target tracking in wide area aerial surveillance
* Multi-strand Graph for a PTZ Tracker, The
* novel image filtering approach for sensor fingerprint estimation in source camera identification, A
* Novel multi-feature Bag-of-Words descriptor via subspace random projection for efficient human-action recognition
* Observing human activities using movement modelling
* occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes, An
* omnidirectional vision system for bus safety surveillance, An
* On fusion for robust motion segmentation
* Ongoing work on traffic lights: Detection and evaluation
* Online multi-face detection and tracking using detector confidence and structured SVMs
* Online multi-modal task-driven dictionary learning and robust joint sparse representation for visual tracking
* Online pedestrian group walking event detection using spectral analysis of motion similarity graph
* Particle filter based Conjoint Individual-Group Tracker (CIGT)
* Patch-based fire detection with online outlier learning
* Person re-identification visualization tool for object tracking across non-overlapping cameras
* PETS 2015: Datasets and challenge
* Plda-based system for text-prompted password speaker verification
* PLSA-based sparse representation for vehicle color classification
* R-SpaRCS: An algorithm for foreground-background separation of compressively-sensed surveillance videos
* Real-time adaptive background modeling in fast changing conditions
* Reliable intruder detection using combined modalities of intensity, thermal infrared and stereo depth
* Robust global tracker based on an online estimation of tracklet descriptor reliability
* Robust pan-tilt-zoom tracking via optimization combining motion features and appearance correlations
* scalable and privacy preserving approach for counting pedestrians in urban environment, A
* Self-calibration from vehicle information
* Social interaction based handling inter-person occlusion for online multi-pedestrian tracking
* Stereo mosaicking and 3D-video for singleview HDTV aerial sequences using a low bit rate ROI coding framework
* stigmergic approach to indoor localization using Bluetooth Low Energy beacons, A
* Telemetry assisted frame registration and background subtraction in low-altitude UAV videos
* Temporally stable feature clusters for maritime object tracking in visible and thermal imagery
* thermal Object Tracking benchmark, A
* Towards mobile and touchless fingerprint verification
* Towards the evaluation of reproducible robustness in tracking-by-detection
* Tracking performance evaluation on PETS 2015 Challenge datasets
* Transferring attributes for person re-identification
* unsupervised domain adaptation approach for cross-domain visual classification, An
* user study on anonymization techniques for smart video surveillance, A
* Vehicle identification using distance-based appearance model
* Vehicle subtype, make and model classification from side profile video
* Video event classification with temporal partitioning
* Violence detection in crowded scenes using substantial derivative
* Vision-based vehicle queue analysis at junctions
88 for AVSS15

AVSS16 * *AVSS
* Assessment of deep learning for gender classification on traditional datasets
* Automatic generation of scene-specific person trackers
* Autonomous altitude measurement and landing area detection for indoor UAV applications
* Bidirectional sparse representations for multi-shot person re-identification
* Crowd semantic segmentation based on spatial-temporal dynamics
* Design space exploration for adaptive privacy protection in airborne images
* Detecting threat behaviours
* Ear in the sky: Ego-noise reduction for auditory micro aerial vehicles
* Edge shape pattern for background modeling based on hybrid local codes
* Efficient large-scale photometric reconstruction using Divide-Recon-Fuse 3D Structure from Motion
* energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance, An
* Ensemble Of adaptive correlation filters for robust visual tracking
* Exploring depth information for head detection with depth images
* Fast CNN surveillance pipeline for fine-grained vessel classification and detection in maritime scenarios
* flexible ensemble-SVM for computer vision tasks, A
* Gender recognition from face images with trainable COSFIRE filters
* Generalized activity recognition using accelerometer in wearable devices for IoT applications
* Group activity recognition on outdoor scenes
* HoG based real-time multi-target tracking in Bayesian framework
* Human violence recognition and detection in surveillance videos
* hybrid framework for online recognition of activities of daily living in real-world settings, A
* Improving reliability of people tracking by adding semantic reasoning
* Improving surface normals based action recognition in depth images
* in-depth study of sparse codes on abnormality detection, An
* Kernel Partial Least Squares for person re-identification
* Low-resolution Convolutional Neural Networks for video face recognition
* Modeling spatial layout of features for real world scenario RGB-D action recognition
* Multi-object tracking of pedestrian driven by context
* Multimodal weighted dictionary learning
* Multiple object tracking based on motion segmentation of point trajectories
* Novel dataset for fine-grained abnormal behavior understanding in crowd
* Online multi-person tracking using Integral Channel Features
* Prioritized target tracking with active collaborative cameras
* Privacy-preserving, indoor occupant localization using a network of single-pixel sensors
* Robust discriminative tracking via query-by-bagging
* Robust vehicle tracking for urban traffic videos at intersections
* Semi-supervised understanding of complex activities from temporal concepts
* Single object tracking based on active and passive detection information in distributed heterogeneous sensor network
* Time-frequency analysis for audio event detection in real scenarios
* Towards semantic context-aware drones for aerial scenes understanding
* Tracking-based detection of driving distraction from vehicular interior video
* Training a convolutional neural network for multi-class object detection using solely virtual world data
* TREAT: Terse Rapid Edge-Anchored Tracklets
* two-stage foreground propagation for moving object detection in a non-stationary, A
* Unsupervised data association for metric learning in the context of multi-shot person re-identification
* Video summarization of surveillance cameras
* visual SLAM-based approach for calibration of distributed camera networks, A
* Visual tracking based on object appearance and structure preserved local patches matching
* ViTBAT: Video tracking and behavior annotation tool
50 for AVSS16

AVSS17 * *AVSS
* 3D-AD: 3D-autism dataset for repetitive behaviours with kinect sensor
* Abnormal behavior detection in LWIR surveillance of railway platforms
* Abnormal crowd behavior detection using novel optical flow-based features
* Action localization in video using a graph-based feature representation
* Action recognition based on a mixture of RGB and depth based skeleton
* Action recognition from extremely low-resolution thermal image sequence
* Active collaborative ensemble tracking
* Active estimation of motivational spots for modeling dynamic interactions
* Active learning for high-density crowd count regression
* Active visual tracking in multi-agent scenarios
* Activity recognition using a panoramic camera for homecare
* adaptive fusion scheme of color and edge features for background subtraction, An
* ADM-HIPaR: An efficient background subtraction approach
* Aerial video surveillance system for small-scale UAV environment monitoring
* Analytics of deep neural network in change detection
* Applying audio description for context understanding of surveillance videos by people with visual impairments
* Approximate license plate string matching for vehicle re-identification
* Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme
* Attributes co-occurrence pattern mining for video-based person re-identification
* Background initialisation by spatio-temporal motion estimation
* Background modeling using adaptive properties of hybrid features
* Background modelling based on generative unet
* Background subtraction using encoder-decoder structured convolutional neural network
* batch asynchronous tracker for wireless smart-camera networks, A
* Building an intelligent video and image analysis evaluation platform for public security
* CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting
* CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person
* Combing spatial and temporal features for crowd counting with point supervision
* Combining LiDAR space clustering and convolutional neural networks for pedestrian detection
* Data-Driven crowd simulation
* Deep cross-domain flying object classification for robust UAV detection
* Deep spatial pyramid for person re-identification
* Deep trajectory representation-based clustering for motion pattern extraction in videos
* Drone-vs-Bird detection challenge at IEEE AVSS2017
* Dynamic representations for autonomous driving
* Enhancing audio surveillance with hierarchical recurrent neural networks
* evidential framework for pedestrian detection in high-density crowds, An
* Exploiting Gaussian mixture importance for person re-identification
* Fast gender recognition in videos using a novel descriptor based on the gradient magnitudes of facial landmarks
* Flying object detection for automatic UAV recognition
* Gathering of data under laboratory conditions for the deep analysis of pedestrian dynamics in crowds
* Generative adversarial models for people attribute recognition in surveillance
* Geometric proposals for faster R-CNN
* High-Speed tracking-by-detection without using image information
* Holistic recognition of low quality license plates by CNN using track annotated data
* Hyper-Optimization tools comparison for parameter tuning applications
* ICT4Life open source libraries supporting multimodal analysis of different diseases
* Inferring state transition from bystander to participant in free-style conversational interaction
* Information-Centric networking in environmental monitoring: An overview on publish-subscribe implementations
* Joint cost minimization for multi-object tracking
* Joint tracking with event grouping and temporal constraints
* knowledge-based approach for video event detection using spatio-temporal sliding windows, A
* Latent embeddings for collective activity recognition
* Learning Feature Representation for Face Verification
* Learning to detect violent videos using convolutional long short-term memory
* Modeling and classification of trajectories based on a Gaussian process decomposition into discrete components
* Monitoring and mapping with robot swarms for agricultural applications
* Motion compensation of submillimeter wave 3D imaging radar data for security screening
* Movies tags extraction using deep learning
* Multi-Object tracking using multi-channel part appearance representation
* Multi-Pedestrian detection and tracking using unified multi-channel features
* Multi-Region bilinear convolutional neural networks for person re-identification
* Multi-Scale histogram tone mapping algorithm enables better object detection in wide dynamic range images
* Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform
* Multimodal vehicle type classification using convolutional neural network and statistical representations of MFCC
* multisensor platform for comprehensive detection of crop status: Results from two case studies, A
* Novel Crowd Density Estimation Technique using Local Binary Pattern and Gabor Features, A
* Online pedestrian tracking with multi-stage re-identification
* open-data, agent-based model of alcohol related crime, An
* Ordered minimum distance bag-of-words approach for aerial object identification
* Park Smart
* PASS: Privacy aware secure signature scheme for surveillance systems
* People detection in top-view fisheye imaging
* Person tracking association using multi-modal systems
* Prediction of learning space occupation through WLAN access point data using Kalman filter and gradient boosting regression
* Preventive maintenance of critical infrastructures using 5G networks drones
* Real-Time HOG-based pedestrian detection in thermal images for an embedded system
* real-time system for audio source localization with cheap sensor device, A
* ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification
* Review on research studies and monitoring system applied to cetaceans in the Gulf of Taranto (Northern Ionian sea, Central-Eastern Mediterranean Sea)
* Robust license plate detection in the wild
* robust method for the recognition of palmprints, A
* Robust multi-object tracking with semantic color correlation
* Semantic annotation of surveillance videos for abnormal crowd behaviour search and analysis
* Semantic filtering for video stabilization
* Semantic labeling for improved vehicle detection in aerial imagery
* Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data
* signal detection theory approach for camera tamper detection, A
* Software framework for tensor stream processing on embedded vision platforms
* Spatial pyramid context-aware moving vehicle detection and tracking in urban aerial imagery
* Structured LSTM for human-object interaction detection and anticipation
* study on detecting drones using deep convolutional neural networks, A
* Survey and navigation in agricultural environments using robotic technologies
* Suspected vehicle detection for driving without license plate using symmelets and edge connectivity
* Towards lightweight convolutional neural networks for object detection
* Tracking and following a moving object with a quadcopter
* Triplet CNN and pedestrian attribute recognition for improved person re-identification
* UA-DETRAC 2017: Report of AVSS2017 IWT4S Challenge on Advanced Traffic Monitoring
* Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition
* Using deep networks for drone detection
* Vehicle detection with sub-class training using R-CNN for the UA-DETRAC benchmark
* Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields
* What has been missed for real life driving? an inspirational thinking from human innate biases
104 for AVSS17

AVSS18 * efficient and effective method for people detection from top-view depth cameras, An

Index for "b"


Last update:12-Nov-18 12:10:09
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