Occlusion detection and object tracking using filter banks

2011 ◽  
Author(s):  
P. Anandhakumar ◽  
J. Priyadarshini ◽  
Lakshmi Rajeswari ◽  
S. Srividhya ◽  
C. K. Niveditha
Keyword(s):  
Object Tracking ◽  
Filter Banks ◽  
Occlusion Detection

Anti-Occlusion Algorithm for Object Tracking Based on Multi-Feature Fusion

2014 ◽  
Vol 610 ◽  
pp. 393-400
Author(s):  
Jie Cao ◽  
Xuan Liang
Keyword(s):  
Object Tracking ◽  
Feature Fusion ◽  
Experimental Results ◽  
Occlusion Detection ◽  
Fusion Algorithm ◽  
Fusion Strategy ◽  
Complex Background ◽  
Complex Scenes

Complex background, especially when the object is similar to the background in color or the target gets blocked, can easily lead to tracking failure. Therefore, a fusion algorithm based on features confidence and similarity was proposed, it can adaptively adjust fusion strategy when occlusion occurs. And this confidence is used among occlusion detection, to overcome the problem of inaccurate occlusion determination when blocked by analogue. The experimental results show that the proposed algorithm is more robust in the case of the cover, but also has good performance under other complex scenes.

3D object tracking via image sets and depth-based occlusion detection

2015 ◽  
Vol 112 ◽  
pp. 146-153 ◽  
Author(s):  
Yan Chen ◽  
Yingju Shen ◽  
Xin Liu ◽  
Bineng Zhong
Keyword(s):  
Object Tracking ◽  
Occlusion Detection ◽  
3D Object

scholarly journals An improved object tracking algorithm based on adaptive weighted strategy and occlusion detection mechanism

2021 ◽  
Vol 15 ◽  
pp. 174830262097353
Author(s):  
Xiuyan Tian ◽  
Haifang Li ◽  
Hongxia Deng
Keyword(s):  
Object Tracking ◽  
Tracking Algorithm ◽  
Occlusion Detection ◽  
Bhattacharyya Distance ◽  
Detection Mechanism ◽  
Spatio Temporal ◽  
Background Object ◽  
The Stability ◽  
Object Area ◽  
Stability And Accuracy

Due to complex background and volatile object shape-appearance in image, the stability and accuracy of tracking algorithm is often disturbed and reduced. So how to accurately and robustly track object in object tracking application is a challenge topic at home and abroad. Built upon the methodologies of compressive tracking and spatio-temporal context, a simple yet robust object tracking method is proposed for solving the drift and occlusion problems in paper. It combines two existing classical ideas into a single framework: adaptive weighted idea and occlusion detection mechanism. In order to weaken interference problems of object background, object area is firstly partitioned into equal-sized sub-patches and the different weight related with location information is assigned for each patch; Then, for improving its robustness, Bhattacharyya distance is adopted to find out these samples with maximum discrimination; In addition, our proposed occlusion detection mechanism is for recapturing the tracked object when occlusion occurs. Many simulation experiments show that our proposed algorithm achieves more favorable performance than these existing state-of-the-art algorithms in handing various challenging infrared videos, especially occlusion and shape deformation.

scholarly journals A scale-adaptive object-tracking algorithm with occlusion detection

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Yue Yuan ◽  
Jun Chu ◽  
Lu Leng ◽  
Jun Miao ◽  
Byung-Gyu Kim
Keyword(s):  
Object Tracking ◽  
Tracking Algorithm ◽  
Occlusion Detection

Real-time Multi-Object Tracking using Adaptive Filtering and Filter Banks for Maritime Applications

2021 ◽  
Author(s):  
Jiaying Lin ◽  
Aravindaraja Puthiyavinayagam ◽  
Shuchen Liu ◽  
Martin Kurowski ◽  
Jan-Joran Gehrt ◽  
...  
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Adaptive Filtering ◽  
Filter Banks
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