Gpu acceleration pedestrian detection algorithm based on parallel computing

Abstract

The invention discloses a gpu acceleration pedestrian detection algorithm based on parallel computing. The algorithm comprises a data processing module, a data calculation module and a data output module, the collection and acquisition are required before the data processing, the data acquisition unit comprises a pedestrian data acquisition device. The data processing module comprises a central processing unit, the data output end of the central processing unit is connected with a graphic processor, the data output end of the graphic processor is bidirectionally connected with the data input end of the central processor, the data calculation module internally comprises accumulated people flow DA kernel calculation and the total people flow statistics SA, and the data output end of the people flow DA kernel calculation is unidirectionally connected with the data input end of the total people flow statistics SA. According to the gpu acceleration pedestrian detection algorithm based on the parallel computing, a large amount of data of the uniform type is processed through gpu, the pedestrian detection data is subjected to the numerical computation in parallel with the graphic numerical computation as the core, so that the processing efficiency is improved, and the rapid detection is facilitated.

Description

technical field [0001] The invention relates to the field of computer vision and image processing technology, in particular to a GPU-accelerated pedestrian detection algorithm based on parallel computing. Background technique [0002] After years of exploration and development, computer vision has been applied in finance, machining, transportation, entertainment, medical care, security, military and many other fields, creating irreplaceable value. In the field of computer vision, target detection is an extremely important research branch. The present invention focuses on a very important and extremely valuable topic in target detection—pedestrian detection. The research basis and premise of tracking and other topics, an excellent pedestrian detection algorithm can provide strong support and guarantee for many of the above research topics, pedestrian detection algorithm, as the name suggests, is to use a pre-trained model for a given picture or video Detect it and mark the l...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing pedestrian detection algorithm does not take the numerical value of graphics as the calculation core, but simply calculates the pedestrian data, and cannot process large-scale data with a highly unified type and no dependence on each other. For graphics or It is a problem that non-graphics highly parallel numerical calculations cannot handle, and a GPU-accelerated pedestrian detection algorithm based on parallel computing is proposed

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