Recognition of individual object in focus people group based on deep learning

Abstract

Deep leaning has become a hot research topic with the rapid development of big data technology. As an important branch of deep learning, convolutional neural network has been widely used in image recognition, and has achieved great success. Convolutional architecture for fast feature embedding (Caffe) with features like speed, extendibility and openness is currently top popular tool of deep learning. In this paper, the authors use Caffe to realize the recognition of individual object in a focus people group. The training images can be obtained from the video recorded by the camera through the method of normalized cross-correlation histogram. The experimental results show that the individual object can be matched accurately by using pre training model. It can be used in practical work like attendance system, criminal investigation field etc.