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» Object tracking: A survey
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ICPR
2008
IEEE
16 years 1 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+
PAMI
2007
214views more  PAMI 2007»
15 years 5 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
ECCV
2006
Springer
15 years 9 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
ICIP
2006
IEEE
16 years 7 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
BMVC
1998
15 years 7 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