Multi-target Tracking and Video Synchronization -- {PhD} Thesis Proposal

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00308659" target="_blank" >RIV/68407700:21230/17:00308659 - isvavai.cz</a>

Result on the web

<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/smid/Smid-TR-2017-02.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/smid/Smid-TR-2017-02.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Multi-target Tracking and Video Synchronization -- {PhD} Thesis Proposal

Original language description

Multi-target tracking is an active research area with applications in autonomous driving, robotics, life sciences, sports and visual surveillance. Some applications such as sports player tracking and surveillance often employ multiple cameras to deal with occlusion and to improve area coverage. In these cases, precise video synchronization is crucial for further processing. The general aim of the thesis is improvement of multi-target tracking. Lead by practical challenges in an ice hockey dataset we also entered the realm of video synchronization. We build a multi-view multi-target tracking pipeline based on work of Fleuret et al., PAMI 2008; Berclaz et al., PAMI 2011, and generalised possible positioning of cameras to full half-sphere. The multi-view information fusion is based on background subtracted binary image masks. We contributed to this stage by reducing false positive detections when an object is learned as a part of a background model. We present a method for sub-millisecond accurate synchronization of an arbitrary number of cameras using global lighting changes, e.g. photographic flashes. For the sub-millisecond accuracy, the cameras need to be equipped with a rolling shutter image sensor, otherwise the synchronization accuracy is up to whole frames. Large part of our work was published under an open source license.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů