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《Electronic Technology》 2017-06
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Pedestrian detection based on machine learning

Tao Zheng-rong;Jiangsu Automation Research Insititute;  
Pedestrian Detection is the computer for a given image and video, it is determined whether there were pedestrians, if there is also need to give the specific location of pedestrians. Pedestrian Detection is a pedestrian tracking, behavior analysis, gait analysis, identification of pedestrians and other research foundation and prerequisite for a good pedestrian detection algorithms can provide strong support and protection for the latter. This paper selects SVM machine learning and deep learning framework caffe of Imagenet model analysis and realization, and then compare the recognition rate of test performance comparison between the two, finally, got the deep learning have a better performance than machine learning.
【CateGory Index】: TP181;TP391.41
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【Citations】
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【Co-citations】
Chinese Journal Full-text Database 9 Hits
1 Tao Zheng-rong;Jiangsu Automation Research Insititute;;Pedestrian detection based on machine learning[J];电子技术;2017-06
2 Pian Zhaoyu;Shi Tianyu;Yuan Depeng;Hu Yulan;Wang Dong;School of Information Science and Engineering, Shenyang Ligong University;School of Computer Science and Engineering, Northeastern University;;Application of Hierarchical Visual Perception in Target Recognition[J];计算机辅助设计与图形学学报;2017-06
3 LV Jing;GAO Chenqiang;DU Yinhe;CHENG Hua;Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications;China Ship Development and Design Center;;Infrared action recognition method based on adaptive fusion of dual channel features[J];重庆邮电大学学报(自然科学版);2017-03
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