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.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [33 references]  Display  Hide  Download

https://hal.inria.fr/hal-00815046
Contributor : Duc Phu Chau <>
Submitted on : Thursday, April 18, 2013 - 10:21:54 AM
Last modification on : Tuesday, July 24, 2018 - 3:48:06 PM
Document(s) archivé(s) le : Monday, April 3, 2017 - 6:49:41 AM

Files

paper_RUNSUD2013.pdf
Files produced by the author(s)

Identifiers

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

Collections

Citation

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⟩

Share

Metrics

Record views

301

Files downloads

2548