Occlusion handling framework for tracking in smart camera networks by per-target assistance task assignment
| Autor: | Wilfried Philips, Francis Deboeverie, Peter Veelaert, Nyan Bo Bo |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry BitTorrent tracker media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Tracking (particle physics) Atomic and Molecular Physics and Optics Computer Science Applications Task (project management) Camera auto-calibration 0202 electrical engineering electronic engineering information engineering Eye tracking 020201 artificial intelligence & image processing Computer vision Artificial intelligence Smart camera Electrical and Electronic Engineering business Function (engineering) Energy (signal processing) media_common |
| Zdroj: | Journal of Electronic Imaging. 26:051407 |
| ISSN: | 1017-9909 |
| DOI: | 10.1117/1.jei.26.5.051407 |
| Popis: | Occlusion is one of the most difficult challenges in the area of visual tracking. We propose an occlusion handling framework to improve the performance of local tracking in a smart camera view in a multicamera network. We formulate an extensible energy function to quantify the quality of a camera’s observation of a particular target by taking into account both person–person and object–person occlusion. Using this energy function, a smart camera assesses the quality of observations over all targets being tracked. When it cannot adequately observe of a target, a smart camera estimates the quality of observation of the target from view points of other assisting cameras. If a camera with better observation of the target is found, the tracking task of the target is carried out with the assistance of that camera. In our framework, only positions of persons being tracked are exchanged between smart cameras. Thus, communication bandwidth requirement is very low. Performance evaluation of our method on challenging video sequences with frequent and severe occlusions shows that the accuracy of a baseline tracker is considerably improved. We also report the performance comparison to the state-of-the-art trackers in which our method outperforms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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