基于视频处理技术的行人检测与跟踪系统

2013 Fourth Global Congress on Intelligent Systems Pub Date : 2013-12-03 DOI:10.1109/GCIS.2013.17

Yuanyuan Chen, Shuqin Guo, Biaobiao Zhang, Ke-Lin Du

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引用次数: 13

摘要

行人检测与跟踪被广泛应用于智能视频监控、智能交通、汽车自动驾驶或驾驶辅助系统。我们选择OpenCV作为开发工具，在视频片段中实现行人检测、跟踪、计数和风险预警。我们引入了一种低维软输出支持向量机行人分类器来实现精确的行人检测。实验表明，该系统具有较高的识别精度和实时性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Pedestrian Detection and Tracking System Based on Video Processing Technology

Pedestrian detection and tracking are widely applied to intelligent video surveillance, intelligent transportation, automotive autonomous driving or driving-assistance systems. We select OpenCV as the development tool for implementation of pedestrian detection, tracking, counting and risk warning in a video segment. We introduce a low-dimensional soft-output SVM pedestrian classifier to implement precise pedestrian detection. Experiments indicate that the system has high recognition accuracy, and can operate in real time.

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来源期刊

2013 Fourth Global Congress on Intelligent Systems

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