A TECHNIQUE FOR PEDESTRIAN DETECTION  BASED ON MOTION FEATURES

Vũ Đức Thái; Dương Thị Nhung; Ngô Đức Vĩnh; Phùng Thế Huân

A TECHNIQUE FOR PEDESTRIAN DETECTION BASED ON MOTION FEATURES

About this article

Received: 02/03/20 Revised: 05/05/20 Published: 11/05/20

Authors

1. Vu Duc Thai, TNU - University of Information and Communication Technology
2. Duong Thi Nhung , TNU - University of Information and Communication Technology
3. Ngo Duc Vinh, HaUI – Hanoi University of Industry
4. Phung The Huan, TNU - University of Information and Communication Technology

Abstract

Pedestrian detection is an important issue in many application areas of image processing, such as traffic monitoring, intrusion detection, self-driving car... In this paper, we present a pedestrian detection technique based on extended Haar features combined with weak classifiers are implemented based on the Adaboost algorithm to make decisions. These features have been calculated based on the difference between pairs of images over time. The technique has been implemented and demonstrates the effectiveness on the 2001 PETS database.

Keywords

Pedestrian Detection; Haar; Haar-like; Haar wavelet; Adaboost…

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