A survey of using biometrics for smart visual surveillance: Gait recognition
I Bouchrika - Surveillance in Action: Technologies for Civilian …, 2018 - Springer
In spite of the increasing concerns raised by privacy advocates against the intrusive
deployment of large scale surveillance cameras, the research community has progressed …
deployment of large scale surveillance cameras, the research community has progressed …
Stacked sparse autoencoder and history of binary motion image for human activity recognition
The recognition of human actions in a video sequence still remains a challenging task in the
computer vision community. Several techniques have been proposed until today such as …
computer vision community. Several techniques have been proposed until today such as …
Automated detection of similar human actions using motion descriptors
As computing becomes ubiquitous in our modern society, automated recognition of human
activities emerges as a crucial topic where it can be applied to many real-life human-centric …
activities emerges as a crucial topic where it can be applied to many real-life human-centric …
Encoding human motion for automated activity recognition in surveillance applications
As computing becomes ubiquitous in our modern society, automated recognition of human
activities emerges as a crucial topic where it can be applied to many real-life human-centric …
activities emerges as a crucial topic where it can be applied to many real-life human-centric …
Automated classification of facial expressions using bag of visual words and texture-based features
As facial expression plays undoubtedly a key role in conveying human emotions and
feelings, research into how people react to the world and communicate with each other still …
feelings, research into how people react to the world and communicate with each other still …