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Analysis System of the Passenger Flow Based on Genetic Algorithm

Author: ZhangQi
Tutor: XieHongZuo
School: Taiyuan University of Technology
Course: Computer Science and Technology
Keywords: Genetic algorithm Passenger flow Body recognition
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 102
Quote: 0
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Abstract


In the passenger flow volume statistical system, characteristics identification techniques are used to reckon the number of customers, which has become a powerful tool for commercial units and pavilions. Reasonable arrangement passenger flow of the park or the pavilion can be to abate the pressure of the passenger flow with the help of passenger flow volume. Under special circumstances, controls the whole situation to evacuate staff the first time. Passenger flow is a huge factor where to reflect company management and businesses work. Modern business undertaking and management mode need certain passenger flow volume instead of the traditional experience-based inspection date. A combination of traditional video monitoring and intelligent arithmetic Make for passenger flow to be have practical significance and commercial value.The paper deeply investigates the basic theory of Genetic Algorithm(GA), and boldness expand Genetic Algorithm into a new territory, where Genetic Algorithm expand into the passenger flow of statistical system Be aimed at the problem that the body identify in intricate background, this paper studies such problems as noise removing and shadow elimination. Thereby improve the accuracy rate of the passenger flow of statistical system.The main contents include: (1) The basic theory and process of Genetic Algorithm are systematically introduced. This paper puts forward a sort of technique of human target detection based on Genetic Algorithm in intricate background.(2) In this paper human deals characteristics be bases on image recognition are discussed, and the image deal with frame difference be filled with the seed fill algorithm.(3) The paper design the passenger flow of statistical system and analyze and dispose the experimental date.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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