基于移动端的“非受控”物体识别算法的实现

Abstract

Abstract: Aiming at the problems that the existing object recognition methods are easy to be influenced by “uncontrolled” factors such as illumination,angle,size and complex environment,and have the problems such as low recognition rate,poor real-time performance and large memory consumption,this paper proposed a new object recognition algorithm,on which the object recognition system based on mobile terminal was realized.This method first employs particle filter algorithm to track the detection range by adding windows,and then applies the watershed segmentation algorithm to segment objects,then uses the HOG(Histogram of Oriented Gradient) algorithm to extract object features.Finally,the random forest algorithm is utilized to recognize objects.The experimental results show that this method can be used to identify the mobile terminal quickly and accurately in an “uncontrolled” environment.

Key words: Mobile terminal, Object recognition, Random forest, Real time, Uncontrolled

CLC Number:

TP391.41

PANG Yu, LIU Ping, LEI Yin-jie. Realization of “Uncontrolled” Object Recognition Algorithm Based on Mobile Terminal[J].Computer Science, 2019, 46(6A): 153-157.

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Realization of “Uncontrolled” Object Recognition Algorithm Based on Mobile Terminal

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