Existing person re-identification methods conventionally rely on labelled pairwise data to learn a task-specific distance metric for ranking. The value of unlabelled gallery instan...
ased Video Abstraction for Video Surveillance Systems Changick Kim, Member, IEEE, and Jenq-Neng Hwang, Fellow, IEEE Key frames are the subset of still images which best t the conte...
Considerable research work has been done in the area of surveillance and biometrics, where the goals have always been high performance, robustness in security and cost optimizatio...
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wa...
This paper presents the Visor (VIdeo Surveillance Online Repository) project designed with the aim of establishing an open platform for collecting, annotating, retrieving, sharing...
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrian...
We present a patch-based algorithm for the purpose of object classification in video surveillance. Within detected regions-of-interest (ROIs) of moving objects in the scene, a feat...
Recently, airborne video surveillance platforms have gained greater acceptance for use in a variety of DoD missions due to their utility, affordability and autonomy. While a varie...
Richard W. Cannata, Steven G. Blask, John A. Van W...
In several video surveillance applications, such as the detection of abandoned/stolen objects or parked vehicles, the detection of stationary foreground objects is a critical task...
In this paper we have addressed confidentiality and privacy for video surveillance databases. First we discussed our overall approach for suspicious event detection. Next we discu...
Bhavani M. Thuraisingham, Gal Lavee, Elisa Bertino...