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...
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Moving object classification in far-field video is a key component of smart surveillance systems. In this paper, we propose a reliable system for person-vehicle classification whi...
Longbin Chen, Rogerio Feris, Yun Zhai, Lisa M. G. ...
Widespread use of surveillance cameras in offices and
other business establishments, pose a significant threat to
the privacy of the employees and visitors. The challenge of
int...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
This paper presents a novel background modeling approach for day and night video surveillance. A great number of background models have been proposed to represent the background sc...
Yu-Ming Liang, Arthur Chun-Chieh Shih, Hsiao-Rong ...