Deep Learning for Visual Surveillance

Posted on January 9, 2017 in Special Issue
Publisher
Impact Factor
Special Issue Details
Deadline
3.599

Deep Learning for Visual Surveillance

Tue 31 Jan 2017
Journal Name : IEEE Transactions on Circuits and Systems for Video Technology
Journal Website : http://tcsvt.polito.it/
Special Issue Link : http://tcsvt.polito.it/Call%20for%20Papers%20-%20TCSVT%20Special%20Issue%20on%20Deep%20Learning%20fo...

Topics include, but are not limited to:
Ÿ Deep feature learning for surveillance video
Ÿ Deep learning to detect faces and objects of interests in surveillance settings
Ÿ Deep learning based face and object recognition
Ÿ Object tracking and motion analysis in surveillance settings based on deep learning techniques
Ÿ Scene analysis and understanding in the context of deep learning paradigm
Ÿ Video summarization and synopsis based on learned prior knowledge using deep learning
Ÿ Surveillance information retrieval using deep learning based features and architectures
Ÿ Action, activity, and abnormal activity detection and recognition using deep methods
Ÿ Deep learning based human interaction and crowd/group dynamics
Ÿ Surveillance event analysis with deep learning techniques
Ÿ Deep learning strategies for the fusion of multi-modal/multi-camera surveillance videos
Ÿ Domain adaptation using deep learning
Ÿ Hardware and network architectures for deep learning in visual surveillance applications,
Ÿ Performance evaluation and benchmark datasets for deep learning based visual surveillance