Survey on Pedestrian Detection Based on Statistical Classification

Authors

Li Wei, 1. School of Transportation, Jilin University, Chanchun 130012, China;;2. College of Computer Science and Engineering, Dalian Minzu University, Dalian 116605, China;
Pengjie Wang, 2. College of Computer Science and Engineering, Dalian Minzu University, Dalian 116605, China;
Haiyu Song, 2. College of Computer Science and Engineering, Dalian Minzu University, Dalian 116605, China;

Abstract

Abstract: As one of the most important areas of research in the domain of computer vision and intelligent tranffic, pedestrian detection has attacted extensive interest from the research community in recent years. Because the detection based on statistical classification method is efficient, it has been widely applied. Pedestrian detection method was focused based on statistical classification. Standard dataset for evaluation of human detection was reviewed, studying the statistics about these dataset. Extracted features and the improvement on them were summarized. The main classifier for pedestrian detection was summarized. The present problems and future research trends in pedestrian detection were proposed.

Recommended Citation

Wei, Li; Wang, Pengjie; and Song, Haiyu (2020) "Survey on Pedestrian Detection Based on Statistical Classification," Journal of System Simulation: Vol. 28: Iss. 9, Article 38.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss9/38

First Page

2186

Revised Date

2016-07-11

DOI Link

https://doi.org/

Last Page

2194

CLC

TP391.41

Recommended Citation

Li Wei, Wang Pengjie, Song Haiyu. Survey on Pedestrian Detection Based on Statistical Classification[J]. Journal of System Simulation, 2016, 28(9): 2186-2194.