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Histograms of Salience for Pedestrian Detection

Published: 10 July 2014 Publication History

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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Cited By

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  • (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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    cover image ACM Other conferences
    ICIMCS '14: Proceedings of International Conference on Internet Multimedia Computing and Service
    July 2014
    430 pages
    ISBN:9781450328104
    DOI:10.1145/2632856
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    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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    Author Tags

    1. Histogram Based Contrast
    2. Histograms-Of-Salience(HOS)
    3. Pedestrian detection

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    Overall Acceptance Rate 163 of 456 submissions, 36%

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    • (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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