In this paper, we investigate the problem of automatic audio surveillance. This aspect of the surveillance, which extends the more investigated area of video surveillance, can be ...
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three ty...
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...
We propose a space-time Markov Random Field (MRF)
model to detect abnormal activities in video. The nodes in
the MRF graph correspond to a grid of local regions in the
video fra...
Jaechul Kim (University of Texas at Austin), Krist...
— An image sensor with focal plane based hardware acceleration of video compression is presented. The 90×90 pixel CMOS image sensor provides in-pixel processing of intensity cha...
Yu M. Chi, Ralph Etienne-Cummings, Gert Cauwenberg...