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202
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MVA
2007
169views Computer Vision» more  MVA 2007»
15 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
211
Voted
JMM2
2006
141views more  JMM2 2006»
15 years 7 months ago
Human Tracking by Fast Mean Shift Mode Seeking
Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel ...
Csaba Beleznai, Bernhard Frühstück, Hors...
216
Voted
TSP
2008
131views more  TSP 2008»
15 years 7 months ago
Smart Sleeping Policies for Energy Efficient Tracking in Sensor Networks
We study the problem of tracking an object that is moving randomly through a dense network of wireless sensors. We assume that each sensor has a limited range for detecting the pr...
Jason A. Fuemmeler, Venugopal V. Veeravalli
197
Voted
TVCG
2008
192views more  TVCG 2008»
15 years 7 months ago
Heads Up and Camera Down: A Vision-Based Tracking Modality for Mobile Mixed Reality
Anywhere Augmentation pursues the goal of lowering the initial investment of time and money necessary to participate in mixed reality work, bridging the gap between researchers in ...
Stephen DiVerdi, Tobias Höllerer
MVA
2007
179views Computer Vision» more  MVA 2007»
15 years 6 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong