Multiple object tracking with partial occlusion handling using salient feature points

Muhammad Ali; M. Abdullah‐Al‐Wadud; Seok‐Lyong Lee

doi:10.1016/j.ins.2014.03.064

ScienceGate Book Chapters

JOURNAL ARTICLE

Multiple object tracking with partial occlusion handling using salient feature points

Muhammad Ali M. Abdullah‐Al‐Wadud Seok‐Lyong Lee

Year: 2014 Journal: Information Sciences Vol: 278 Pages: 448-465 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2014.03.064

Get Full-Text PDF Get Analytical Report

Keywords:

Salient Artificial intelligence Computer science Video tracking Tracking (education) Feature (linguistics) Computer vision Object (grammar) Pattern recognition (psychology) Occlusion Feature tracking Medicine Psychology

Metrics

Cited By

3.38

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multiple object tracking with partial occlusion handling using salient feature points

Metrics

Citation History

Topics

Related Documents

Lidar-Based Multiple Object Tracking with Occlusion Handling

Patch-based object tracking using corner and color with partial occlusion handling

AOH: Online Multiple Object Tracking With Adaptive Occlusion Handling

Part-based multiple-person tracking with partial occlusion handling

Person tracking with partial occlusion handling