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Object Tracking in Videos: Approaches and Issues

Duc Phu Chau 1, 2, * François Bremond 1 Monique Thonnat 1
* Corresponding author
1 STARS - Spatio-Temporal Activity Recognition Systems
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Mobile object tracking has an important role in the computer vision applications. In this paper, we use a tracked target-based taxonomy to present the object tracking algorithms. The tracked targets are divided into three categories: points of interest, appearance and silhouette of mobile objects. Advantages and limitations of the tracking approaches are also analyzed to find the future directions in the object tracking domain.
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https://hal.inria.fr/hal-00815046
Contributor : Duc Phu Chau <>
Submitted on : Thursday, April 18, 2013 - 10:21:54 AM
Last modification on : Thursday, March 5, 2020 - 5:34:44 PM
Long-term archiving on: : Monday, April 3, 2017 - 6:49:41 AM

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  • HAL Id : hal-00815046, version 1
  • ARXIV : 1304.5212

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Duc Phu Chau, François Bremond, Monique Thonnat. Object Tracking in Videos: Approaches and Issues. The International Workshop "Rencontres UNS-UD" (RUNSUD), Apr 2013, Danang, Vietnam. ⟨hal-00815046⟩

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