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» A New Method for Auto-calibrated Object Tracking
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GI
2009
Springer
13 years 12 months ago
Tracking an Extended Object Modeled as an Axis-Aligned Rectangle
: In many tracking applications, the extent of the target object is neglected and it is assumed that the received measurements stem from a point source. However, modern sensors are...
Marcus Baum, Uwe D. Hanebeck
ICIP
2008
IEEE
14 years 1 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
CVPR
2012
IEEE
12 years 1 months ago
Branch-and-price global optimization for multi-view multi-object tracking
We present a new algorithm to jointly track multiple objects in multi-view images. While this has been typically addressed separately in the past, we tackle the problem as a single...
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
ACCV
2007
Springer
14 years 1 months ago
Continuously Tracking Objects Across Multiple Widely Separated Cameras
In this paper, we present a new solution to the problem of multi-camera tracking with non-overlapping fields of view. The identities of moving objects are maintained when they are...
Yinghao Cai, Wei Chen, Kaiqi Huang, Tieniu Tan
CVPR
2004
IEEE
14 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...