Deep Learning for Visual Surveillance

  in Special Issue   Posted on January 9, 2017

Information for the Special Issue

Submission Deadline: Tue 31 Jan 2017
Journal Impact Factor : 3.599
Journal Name : IEEE Transactions on Circuits and Systems for Video Technology
Journal Publisher:
Website for the Special Issue: http://tcsvt.polito.it/Call%20for%20Papers%20-%20TCSVT%20Special%20Issue%20on%20Deep%20Learning%20for%20Video%20Surveillance.pdf
Journal & Submission Website: http://tcsvt.polito.it/

Special Issue Call for Papers:

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

Closed Special Issues