We present an algorithm for multi-person tracking-bydetection
in a particle filtering framework. To address the
unreliability of current state-of-the-art object detectors, our
a...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
Pedestrian detection is a key problem in computer vision,
with several applications including robotics, surveillance
and automotive safety. Much of the progress of the past
few ...
Bernt Schiele, Christian Wojek, Pietro Perona, Pio...
We present a system and a set of tools for producing special effects in film/video making by applying image processing and human centered computing techniques. A combination of s...
Chun-Hao Wang, Yongjin Wang, Meifeng Lian, Bruce E...
We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection. We propose to extract a novel representation, the Sh...
Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan...
The large number of rear end collisions due to driver inattention has been identified as a major automotive safety issue. In this paper, we describe a 3-phase vehicle tracking met...