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» Robust Fragments-based Tracking using the Integral Histogram
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ICVGIP
2008
13 years 9 months ago
Fragment Based Tracking for Scale and Orientation Adaptation
In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...
Viswanathan Srikrishnan, Tadinada Nagaraj, Subhasi...
CVPR
2006
IEEE
14 years 9 months ago
Robust Fragments-based Tracking using the Integral Histogram
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
ICIAP
2005
ACM
14 years 7 months ago
Track Matching by Major Color Histograms Matching and Post-matching Integration
Abstract. In this paper we present a track matching algorithm based on the "major color" histograms matching and the post-matching integration useful for tracking a singl...
Eric Dahai Cheng, Massimo Piccardi
ICMCS
2005
IEEE
201views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram
This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of th...
Xinyu Xu, Baoxin Li
MVA
2007
169views Computer Vision» more  MVA 2007»
13 years 8 months ago
Human Tracking Based on Particle Filter in Outdoor Scene
In this paper, we propose the object tracking method based on color histograms and particle filtering. Particle filtering is a time series filter for estimating a state using prob...
Mototsugu Muroi, Heitoh Zen