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» Tracking objects in video using motion and appearance models
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ICIP
2001
IEEE
14 years 10 months ago
Metrics for performance evaluation of video object segmentation and tracking without ground-truth
We present metrics to evaluate the performance of video object segmentation and tracking methods quantitatively when groundtruth segmentation maps are not available. The proposed ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
ICIP
2005
IEEE
14 years 11 months ago
A motion-based binary partition tree approach to video object segmentation
This paper describes an approach for generating Binary Partition Tree [7] representations and video object segmentations using a novel region merging strategy based on motion simi...
Camilo C. Dorea, Ferran Marqués, Montse Par...
CVPR
1999
IEEE
14 years 1 months ago
Detecting and Tracking Moving Objects for Video Surveillance
We address the problem of detection and tracking of moving objects in a video stream obtained from a moving airborne platform. The proposed method relies on a graph representation...
Isaac Cohen, Gérard G. Medioni
CVPR
2012
IEEE
11 years 11 months ago
An online learned CRF model for multi-target tracking
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
Bo Yang, Ram Nevatia
ICIP
2007
IEEE
14 years 11 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian