Weighted histogram of oriented uniform gradients for moving object detection

Wei Jong Yang, Yu Xiang Su, Pau-Choo Chung, Jar-Ferr Yang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

With the growth of the automotive electronics technology, the advanced driver assistance system (ADAS) becomes more and more important. Especially, the moving object detection (MOD) is an important issue in the ADAS in intelligent vehicles. In realistic systems, there exist two critical challenges including computing time and detection rate for MOD. To overcome these problems, we propose a novel moving object detection system which contains pre-processing, feature extraction, classification and state machine. The pre-processing contains ROI extraction and skipping low busyness windows, which accelerates the computing time to solve the mentioned problem. To improve the performances, in this paper, the weighted histogram of oriented uniform gradient (WHOUG) with support vector machine (SVM) is proposed to promote the detection accuracy. Besides, the finite state machine could further improve the robustness of the proposed system. The results demonstrate that the proposed system achieves better performance than the traditional one, and also maintains real time computation.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer
Pages250-260
Number of pages11
DOIs
Publication statusPublished - 2020 Jan 1

Publication series

NameLecture Notes in Networks and Systems
Volume69
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Fingerprint

Advanced driver assistance systems
Automobile electronic equipment
Intelligent vehicle highway systems
Finite automata
Processing
Support vector machines
Feature extraction
Object detection

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Control and Systems Engineering

Cite this

Yang, W. J., Su, Y. X., Chung, P-C., & Yang, J-F. (2020). Weighted histogram of oriented uniform gradients for moving object detection. In Lecture Notes in Networks and Systems (pp. 250-260). (Lecture Notes in Networks and Systems; Vol. 69). Springer. https://doi.org/10.1007/978-3-030-12388-8_18
Yang, Wei Jong ; Su, Yu Xiang ; Chung, Pau-Choo ; Yang, Jar-Ferr. / Weighted histogram of oriented uniform gradients for moving object detection. Lecture Notes in Networks and Systems. Springer, 2020. pp. 250-260 (Lecture Notes in Networks and Systems).
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Yang, WJ, Su, YX, Chung, P-C & Yang, J-F 2020, Weighted histogram of oriented uniform gradients for moving object detection. in Lecture Notes in Networks and Systems. Lecture Notes in Networks and Systems, vol. 69, Springer, pp. 250-260. https://doi.org/10.1007/978-3-030-12388-8_18

Weighted histogram of oriented uniform gradients for moving object detection. / Yang, Wei Jong; Su, Yu Xiang; Chung, Pau-Choo; Yang, Jar-Ferr.

Lecture Notes in Networks and Systems. Springer, 2020. p. 250-260 (Lecture Notes in Networks and Systems; Vol. 69).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Yang WJ, Su YX, Chung P-C, Yang J-F. Weighted histogram of oriented uniform gradients for moving object detection. In Lecture Notes in Networks and Systems. Springer. 2020. p. 250-260. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-3-030-12388-8_18