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» Object tracking using multiple fragments
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BMVC
1998
15 years 1 months ago
Detection and Tracking of Very Small Low Contrast Objects
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
D. Davies, Phil L. Palmer, Majid Mirmehdi
CVPR
2004
IEEE
16 years 2 months ago
Multiple Kernel Tracking with SSD
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...
87
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SIBGRAPI
2007
IEEE
15 years 6 months ago
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, ...
Wesley Nunes Gonçalves, João Bosco O...
VMV
2001
160views Visualization» more  VMV 2001»
15 years 1 months ago
A Multi-Sensor Object Localization System
This paper presents a localization and tracking system integrating multiple sensors. Object localization results from local sensor systems are fused using a decentralized Kalman f...
Sascha Spors, Rudolf Rabenstein, Norbert Strobel
AMFG
2005
IEEE
218views Biometrics» more  AMFG 2005»
15 years 6 months ago
Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
Alex Po Leung, Shaogang Gong