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» Object Tracking in Compressed Video with Confidence Measures
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CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
15 years 3 months ago
Particle filtering using multiple cross-correlations for tracking occluded objects in cluttered scenes
— This paper is concerned with the tracking of partially or entirely occluded objects in a video sequence. We propose certain modifications to the template matching approach, whi...
Arie Nakhmani, Allen Tannenbaum
91
Voted
ICIAR
2005
Springer
15 years 3 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
146
Voted

Publication
353views
14 years 10 months ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
ECCV
2008
Springer
15 years 11 months ago
Interactive Tracking of 2D Generic Objects with Spacetime Optimization
Abstract. We present a continuous optimization framework for interactive tracking of 2D generic objects in a single video stream. The user begins with specifying the locations of a...
Xiaolin K. Wei, Jinxiang Chai
ICPR
2008
IEEE
15 years 3 months ago
Incremental trajectory aggregation in video sequences
This article introduces new similarity measures between trajectories, in order to detect uncommon behaviors. These measures are used to find the most common trajectories in a seq...
Ionel Pop, Mihaela Scuturici, Serge Miguet