Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Robust Global Tracker based on an Online Estimation of Tracklet Descriptor Reliability

Abstract : The complex scene conditions such as light change, high density of mobile objects or object occlusion can cause object mis-detections. When a tracker can not recover these mis-detections, the trajectory of an object is fragmented into some short trajectories called tracklets. As a result, tracking quality is reduced remarkably. In this paper, we propose a new approach to improve the tracking quality by a global tracker which merges all tracklets belonging to an object in the whole video. Particularly, we compute descriptor reliability over time based on their discrimination. On the other hand, a motion model is also combined with appearance descriptors in a flexible way to improve the tracking quality. The proposed approach is evaluated on four benchmark datasets. The obtained results show the robustness and effectiveness of our approach compared to tracking as well as tracklet linking approaches from state of the art.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download
Contributor : NGUYEN Thi Lan Anh Connect in order to contact the contributor
Submitted on : Friday, August 21, 2015 - 6:37:58 PM
Last modification on : Saturday, June 25, 2022 - 11:16:52 PM
Long-term archiving on: : Wednesday, April 26, 2017 - 10:18:57 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License


  • HAL Id : hal-01185874, version 1



Thi Lan Anh Nguyen, Duc Phu Chau, Francois Bremond. Robust Global Tracker based on an Online Estimation of Tracklet Descriptor Reliability. Advanded Video and Signal-based Surveillance, Aug 2015, Karlsruhe, Germany. ⟨hal-01185874⟩



Record views


Files downloads