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behavioural sciences computing, computer vision, entropy, feature extraction, image motion analysis, pedestrians, LSTM BibRef
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Predictive models, Hidden Markov models, Feature extraction, Autonomous vehicles, Decoding BibRef
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Location-Velocity Attention for Pedestrian Trajectory Prediction,
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SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction,
IEEE DOI 1806
Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification,
IEEE DOI 1804
learning (artificial intelligence), pedestrians, recurrent neural nets, pedestrian trajectory prediction, Task analysis. feature extraction, image recognition, learning (artificial intelligence), neural nets, Trajectory. image classification, object detection. BibRef
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Springer DOI 1810
A sparse approach to pedestrian trajectory modeling using multiple motion fields,
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Safe-Net: Solid and Abstract Feature Extraction Network for Pedestrian Attribute Recognition,
IEEE DOI 1910
Pedestrian Attribute, GAN, Image Segmentation BibRef
Pedestrian near-miss analysis on vehicle-mounted driving recorders,
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Autonomous vehicles, Benchmark testing, Computer vision, Pattern recognition, Safety, Urban areas, Visualization BibRef
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image motion analysis, minimisation, pedestrians, pose estimation, collision avoidance, destination point, expected destination, Visualization BibRef
A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision,
IEEE DOI 1709
Cameras, Feature extraction, Safety, Sensors, Surveillance, Tracking, Videos BibRef
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computer vision, feature extraction, image segmentation, object detection, pedestrians, road safety, BibRef
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Detection, Tracking, Infrared, IR, Thermal Images .