低分辨率FIR行人识别的多检测器方法

IEEE Proceedings. Intelligent Vehicles Symposium, 2005. Pub Date : 2005-06-06 DOI:10.1109/IVS.2005.1505123

Mirko Miihlisch, M. Oberlander, O. Lohlein, D. Gavrila, Werner Ritter

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引用次数: 49

摘要

本文提出了一种既可靠又快速的识别方案。该方案包括同时协调使用三种强大的检测算法，超置换网络(HPN)，分层轮廓匹配(HCM)算法和级联分类器方法。对每一种算法分别进行评价，然后根据评价结果，采用粒子滤波方法对检测结果进行融合。

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 multiple detector approach to low-resolution FIR pedestrian recognition

In this paper we present a recognition scheme, which is both reliable and fast. The scheme comprises the simultaneous harmonized use of three powerful detection algorithms, the hyper permutation network (HPN), a hierarchical contour matching (HCM) algorithm and a cascaded classifier approach. Each algorithm is evaluated separately and afterwards, based on the evaluation results, the fusion of the detection results is performed by a particle filter approach.

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IEEE Proceedings. Intelligent Vehicles Symposium, 2005.

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