Cited By
View all- Ragesh NRajesh R(2019)Pedestrian Detection in Automotive Safety: Understanding State-of-the-ArtIEEE Access10.1109/ACCESS.2019.29099927(47864-47890)Online publication date: 2019
Histograms of Salience for Pedestrian Detection
Authors: 
Yuanyuan Nan, Chao Liang, Wenhua Fang, Xiao Wang, Yuhong Yang, Jun ChenAuthors Info & Claims
Yuanyuan Nan, Chao Liang, Wenhua Fang, Xiao Wang, Yuhong Yang, Jun ChenAuthors Info & ClaimsPages 275 - 278
Abstract
Pedestrian detection has been seen huge progress in recent years, much thanks to the Histograms of Oriented Gradients (HOG) features. However, this method (HOG and SVM) has a large number of false detections. To conquer the problem, we provide an affirmative answer by proposing and investigating a salience representation for pedestrian detection, Histograms-Of-Salience (HOS). We extracted saliency map learned from data by using Histogram Based Contrast, and aggregate salient value and oriented gradients to form local HOS. We intentionally keep true to the sliding window framework and only change the underlying features. By learning and using local HOS feature that are much more expressive than HOG, we demonstrate large improvements on the public INRIA dataset.
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Index Terms
- Histograms of Salience for Pedestrian Detection
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Information & Contributors
Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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View all- Ragesh NRajesh R(2019)Pedestrian Detection in Automotive Safety: Understanding State-of-the-ArtIEEE Access10.1109/ACCESS.2019.29099927(47864-47890)Online publication date: 2019
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