Clustering of tracklets for on-line multi-target tracking in networked camera systems

2011 ◽  
Author(s):  
Julien A. Vijverberg ◽  
Cornelis J. Koeleman ◽  
Peter H.N. de With
Keyword(s):  
Target Tracking ◽  
Camera Systems ◽  
Multi Target Tracking ◽  
On Line

scholarly journals On-Line Visual Tracking with Occlusion Handling

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 929 ◽  
Author(s):  
Tharindu Rathnayake ◽  
Amirali Khodadadian Gostar ◽  
Reza Hoseinnezhad ◽  
Ruwan Tennakoon ◽  
Alireza Bab-Hadiashar
Keyword(s):  
Target Tracking ◽  
Visual Tracking ◽  
State Of The Art ◽  
The State ◽  
Occlusion Handling ◽  
Art Methods ◽  
Multi Target Tracking ◽  
Motion Features ◽  
On Line ◽  
Tracking Point

One of the core challenges in visual multi-target tracking is occlusion. This is especially important in applications such as video surveillance and sports analytics. While offline batch processing algorithms can utilise future measurements to handle occlusion effectively, online algorithms have to rely on current and past measurements only. As such, it is markedly more challenging to handle occlusion in online applications. To address this problem, we propagate information over time in a way that it generates a sense of déjà vu when similar visual and motion features are observed. To achieve this, we extend the Generalized Labeled Multi-Bernoulli (GLMB) filter, originally designed for tracking point-sized targets, to be used in visual multi-target tracking. The proposed algorithm includes a novel false alarm detection/removal and label recovery methods capable of reliably recovering tracks that are even lost for a substantial period of time. We compare the performance of the proposed method with the state-of-the-art methods in challenging datasets using standard visual tracking metrics. Our comparisons show that the proposed method performs favourably compared to the state-of-the-art methods, particularly in terms of ID switches and fragmentation metrics which signifies occlusion.

Multi-target tracking with an event-based vision sensor and a partial-update GMPHD filter

2019 ◽  
Vol 2019 (13) ◽  
pp. 127-1-127-7
Author(s):  
Benjamin J. Foster ◽  
Dong Hye Ye ◽  
Charles A. Bouman
Keyword(s):  
Target Tracking ◽  
Vision Sensor ◽  
Multi Target Tracking ◽  
Event Based

Shared-memory parallel multi-target tracking

2009 ◽  
Vol 28 (9) ◽  
pp. 2303-2305
Author(s):  
Xiao-gang WANG ◽  
Xiao-juan WU ◽  
Xin ZHOU ◽  
Xiao-yan ZHANG
Keyword(s):  
Target Tracking ◽  
Shared Memory ◽  
Multi Target Tracking
Sign in / Sign up

Export Citation Format

Share Document