Motion-Based Tracking of Multiple Low-Relative-Depth Objects

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200616" target="_blank" >RIV/68407700:21230/12:00200616 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Motion-Based Tracking of Multiple Low-Relative-Depth Objects
Original language description
In this report, we present a method for online tracking of multiple rigid low-relative-depth objects or object surfaces from a single moving or static camera. The method determines the number of tracked entities in the scene automatically and initialisesthem without any human interaction or by running a specific object detector. Tracking is formulated as an energy-based multi-model fitting problem based on displacement of a semi-dense set of local Lukas-Kanade trackers. An over-complete set of motion models is generated in each frame and fitted considering the motion similarity. For each detected surface the motion model is propagated in time and to ensure temporal consistency and locality of the tracked entities in the scene two novel energy terms are introduced. We demonstrate the abilities of the proposed algorithm on several long real-world sequences. The algorithm works at 2-6fps depending on the complexity of the scene.
Czech name
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Czech description
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Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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