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» Using Histograms to Detect and Track Objects in Color Video
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ICPR
2008
IEEE
14 years 3 months ago
Online Feature Evaluation For Object Tracking Using Kalman Filter
An online feature evaluation method for visual object tracking is put forward in this paper. Firstly, a combined feature set is built using color histogram (HC) bins and gradien...
Zhenjun Han, Qixiang Ye, Jianbin Jiao+
CVPR
2004
IEEE
14 years 9 months ago
Robust Color Object Detection Using Spatial-Color Joint Probability Functions
Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm...
David J. Crandall, Jiebo Luo
CGI
2003
IEEE
14 years 29 days ago
Automatic Tracking of Face Sequences in MPEG Video
Human faces are commonly found in video streams and provide useful information for video content analysis. This paper presents a robust face tracking system to extract multiple fa...
Yunlong Zhao, Tat-Seng Chua
JMM2
2007
127views more  JMM2 2007»
13 years 7 months ago
The Cut Detection Issue in the Animation Movie Domain
— In this paper we are proposing an improved cut detection algorithm adapted to the animation movies domain. A cut is the direct concatenation of two different shots and produces...
Bogdan Ionescu, Patrick Lambert, Didier Coquin, Va...
IVC
2006
259views more  IVC 2006»
13 years 7 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao