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» Extraction and Clustering of Motion Trajectories in Video
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CRV
2009
IEEE
132views Robotics» more  CRV 2009»
14 years 3 months ago
Non-Accidental Features for Gesture Spotting
In this paper we argue that gestures based on nonaccidental motion features can be reliably detected amongst unconstrained background motion. Specifically, we demonstrate that hu...
Adam Fourney, Richard Mann
ICIP
2007
IEEE
14 years 2 months ago
A Generic Process Chain to Extract Key-Objects from Video Shots
This paper discusses object-based representation of video shots acquired by a moving camera. Our approach uses an extraction of foreground regions capable of representing semantic...
Jérémy Huart, Pascal Bertolino
CVPR
2012
IEEE
11 years 11 months ago
Improving multi-target tracking via social grouping
We address the problem of multi-person dataassociation-based tracking (DAT) in semi-crowded environments from a single camera. Existing trackletassociation-based methods using pur...
Zhen Qin, Christian R. Shelton
MM
2006
ACM
221views Multimedia» more  MM 2006»
14 years 2 months ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
14 years 2 months ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard