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» Finding Paths in Video Sequences
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ICPR
2006
IEEE
14 years 11 months ago
Measurement Function Design for Visual Tracking Applications
Extracting human postural information from video sequences has proved a difficult research question. The most successful approaches to date have been based on particle filtering, ...
Andrew W. B. Smith, Brian C. Lovell
CVPR
2010
IEEE
14 years 6 months ago
Segmenting Video Into Classes of Algorithm-Suitability
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
Oisin Mac Aodha, Gabriel Brostow, marc Pollefeys
CLEAR
2006
Springer
190views Biometrics» more  CLEAR 2006»
14 years 1 months ago
Evaluation of USC Human Tracking System for Surveillance Videos
The evaluation results of a system for tracking humans in surveillance videos are presented. Moving blobs are detected based on adaptive background modeling. A shape based multi-vi...
Bo Wu, Xuefeng Song, Vivek Kumar Singh, Ram Nevati...
IJCV
2008
129views more  IJCV 2008»
13 years 9 months ago
Minimal Aspect Distortion (MAD) Mosaicing of Long Scenes
Abstract Long scenes can be imaged by mosaicing multiple images from cameras scanning the scene. We address the case of a video camera scanning a scene while moving in a long path,...
Alex Rav-Acha, Giora Engel, Shmuel Peleg
LCN
1998
IEEE
14 years 2 months ago
Performance of TCP over ABR with Long-Range Dependent VBR Background Traffic over Terrestrial and Satellite ATM networks
Compressed video is well known to be self-similar in nature. We model VBR carrying long-range dependent, multiplexed MPEG-2 video sources traffic. The actual traffic for the model...
Shivkumar Kalyanaraman, Bobby Vandalore, Raj Jain,...