基于计算机仿真的行人检查算法研究  

Pedestrian detection algorithm research based on computer simulation

作　　者：蔡苏亚[1] 刘璟[1] 

机构地区：[1]陕西工业职业技术学院,陕西咸阳712000

出　　处：《电子设计工程》2014年第23期51-53,共3页Electronic Design Engineering

摘　　要：为了提高行人检测性能和速度,本文提出了一种新颖的基于v-FDF和SVM级联的行人检测方法。该方法既融合了v-FDF计算复杂度低和特征提取准确的优势,同时又采用支持向量机的SVM模式,提高矩阵运算速度。本文运用Matlab进行了多组仿真实验,实验结果表明本文的方法性能比基于Adaboost和SVM的方法好,在相同的虚警率下漏检率较低,并且检测速度能达到10帧每秒,基本上能达到实时性要求,可见本文算法检测率高,方法的性能好。In order to improve the detection performance and speed, this paper proposes a novel based on v-FDF and SVM cascade for pedestrian detection, and a lot of experiments are conducted with Matlab. This method combines both the advantages of v-FDF that has low computing complexity and accurate feature extraction, and the SVM model that is based on support vector machine, increasing the speed of matrix operations. The experiment results show that the performance of the method in this paper is better than the methods based on SVM and Adaboost, which has lower miss rate under the same false alarm rate, and the detection speed can reach 10 frames per second, can achieve real-time demand basically. So the algorithm in this paper has the high detection rate, and method of performance is good.

关 键 词：v-FDF SVM 级联 行人检测 

分 类 号：TN915[电子电信—通信与信息系统]