Motion periodicity-based pedestrian detection and particle filter-based pedestrian tracking using stereo vision camera : MACHINE VISION AND COMPUTATIONAL INTELLIGENCE IN RECENT INDUSTRIAL PRACTICE

Journal article

Peer reviewed

International journal of computer applications in technology, Vol.50(1-2), pp.113-121

2014

Abstract

Applied sciences

Artificial intelligence

Computer science; control theory; systems

Control theory. Systems

Exact sciences and technology

Pattern recognition. Digital image processing. Computational geometry

Robotics

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Title: Motion periodicity-based pedestrian detection and particle filter-based pedestrian tracking using stereo vision camera : MACHINE VISION AND COMPUTATIONAL INTELLIGENCE IN RECENT INDUSTRIAL PRACTICE
Creators - without role: Khalid AL-MUTIB - King Saud University
Muhammad Emaduddin - King Saud University
Mansour Alsulaiman - King Saud University
Hedjar Ramdane - King Saud University
Ebrahim Mattar - University of Bahrain
Publication Details: International journal of computer applications in technology, Vol.50(1-2), pp.113-121
Publisher: Inderscience Publishers
Identifiers: 9951954708331
Academic Unit: King Saud University
Language: English
Resource Type: Journal article