Lera, F.
* 2010: Accurately Locating a Vertical Magnetic Dipole Buried in a Conducting Earth
Lera, G.[Gabriel]
* 2006: Evaluation of correspondence errors for stereo
Lerallut, R.
* 2005: Noise Reduction in 3D Images Using Morphological Amoebas
* 2007: Image filtering using morphological amoebas
* 2007: Morphological Operators for Flooding, Leveling and Filtering Images Using Graphs
Includes: Lerallut, R. Lerallut, R.[Romain]
Lerario, A.[Antonella]
* 2020: Virtual Touring for the Puglia Regional Museum Directorate
Lerasle, F.
* 1996: Human Body Tracking by Monocular Vision
* 1997: Human Body Limbs Tracking by Multi-Ocular Vision
* 1999: Tracking of Human Limbs by Multiocular Vision
* 2000: Relaxation vs Maximal Cliques Search for Projected Beams Labeling in a Structured Light Sensor
* 2001: Projected Light Beams Tracking for Efficient 3d Reconstruction
* 2002: smart sensor based visual landmarks detection for indoor robot navigation, A
* 2003: Visual landmarks detection and recognition for mobile robot navigation
* 2006: Data Fusion for 3D Gestures Tracking using a Camera mounted on a Robot
* 2007: visual landmark framework for mobile robot navigation, A
* 2008: MCMC-based particle filter for multiple person tracking, An
* 2008: Multimodal Interaction Abilities for a Robot Companion
* 2008: Towards real-time markerless human motion capture from ambiance cameras using an hybrid particle filter
* 2009: Likelihood tuning for particle filter in visual tracking
* 2009: Quasi Monte Carlo partitioned filtering for Visual Human Motion Capture
* 2010: Particle filtering strategies for data fusion dedicated to visual tracking from a mobile robot
* 2010: Vision and RFID data fusion for tracking people in crowds by a mobile robot
* 2011: Mixed-State Particle Filtering for Simultaneous Tracking and Re-identification in Non-overlapping Camera Networks
* 2011: Towards human motion capture from a camera mounted on a mobile robot
* 2012: MCMC Supervision for People Re-identification in Nonoverlapping Cameras
* 2012: State-Driven Particle Filter for Multi-person Tracking
* 2013: Cooperative passers-by tracking with a mobile robot and external cameras
* 2013: Human Motion Capture Using Data Fusion of Multiple Skeleton Data
* 2013: IMM-Based Tracking and Latency Control with Off-the-Shelf IP PTZ Camera
* 2013: Person Detection with a Computation Time Weighted AdaBoost
* 2013: Tracking-by-detection of multiple persons by a resample-move particle filter
* 2014: Improving multiple pedestrians tracking with semantic information
* 2014: Intention-Aware Multiple Pedestrian Tracking
* 2014: particle swarm optimization inspired tracker applied to visual tracking, A
* 2014: People Detection with Heterogeneous Features and Explicit Optimization on Computation Time
* 2015: Collaboration and spatialization for an efficient multi-person tracking via sparse representations
* 2015: comparative view on exemplar tracking-by-detection approaches, A
* 2015: Online multi-person tracking based on global sparse collaborative representations
* 2016: Combination of RGB-D Features for Head and Upper Body Orientation Classification
* 2016: Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking
* 2016: multi-modal perception based assistive robotic system for the elderly, A
* 2017: Hyper-Optimization tools comparison for parameter tuning applications
* 2018: 3D Head Pose Estimation Enhanced Through SURF-Based Key-Frames
* 2018: Soft-Cascade Learning with Explicit Computation Time Considerations
* 2019: Comparative Evaluations of Selected Tracking-by-Detection Approaches
* 2019: Hyper-parameter optimization tools comparison for multiple object tracking applications
* 2021: Audio-Video detection of the active speaker in meetings
* 2021: Compact and discriminative multi-object tracking with siamese CNNs
* 2021: Late Fusion of Bayesian and Convolutional Models for Action Recognition
Includes: Lerasle, F. Lerasle, F.[Frederic] Lerasle, F.[Frédéric]
43 for Lerasle, F.
Leray, A.
* 2016: Statistical Performance Analysis of a Fast Super-Resolution Technique Using Noisy Translations