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» Robust Segmentation of Hidden Layers in Video Sequences
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FGR
2002
IEEE
212views Biometrics» more  FGR 2002»
15 years 2 months ago
Motion-Based Recognition of People in EigenGait Space
A motion-based, correspondence-free technique for human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a ...
Chiraz BenAbdelkader, Larry S. Davis, Ross Cutler
ICCV
2007
IEEE
15 years 11 months ago
Moving Object Extraction with a Hand-held Camera
This paper presents a new method to detect and accurately extract the moving object from a video sequence taken by a hand-held camera. In order to extract the high quality moving ...
Guofeng Zhang, Jiaya Jia, Wei Xiong, Tien-Tsin Won...
AVSS
2008
IEEE
15 years 4 months ago
Object and Scene-Centric Activity Detection Using State Occupancy Duration Modeling
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
Murtaza Taj, Andrea Cavallaro
109
Voted
WSCG
2004
212views more  WSCG 2004»
14 years 11 months ago
Face and Hands Segmentation in Color Images and Initial Matching with a Biomechanical Model
In this paper we describe a robust and efficient procedure to detect skin region with homogeneous color values in monocular indoor images. The mathematical background is a functio...
Jose Maria Buades Rubio, Manuel González Hi...
AVSS
2006
IEEE
15 years 3 months ago
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu