Multi-thread parallel computing traffic video target detection method and device
A target detection algorithm and parallel computing technology, applied in computing, computer components, instruments, etc., can solve problems such as poor robustness and low precision, and achieve the effect of improving precision and efficiency
Active Publication Date: 2019-08-30
SHENZHEN UNIV
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[0004] The technical problem to be solved by the present invention is to provide a multi-threaded parallel computing traffic video target detection method and device for the above-mentioned defects of the prior art, aiming at solving the problems of the prior art for the targets such as vehicles and pedestrians in the video The detection method has poor robustness and low precision
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[0044] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0045] The invention provides a traffic video target detection method with multi-thread parallel computing, which can be applied to terminals. Wherein, the terminal may be, but not limited to, various personal computers, notebook computers, mobile phones, tablet computers, vehicle-mounted computers, and the like. The terminal of the present invention adopts a multi-core processor. Wherein, the processor of the terminal may be at least one of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), a video processing unit (Vide...
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The invention discloses a multi-thread parallel computing traffic video target detection method and device, and the method comprises the steps: extracting an original traffic video file, and segmenting a video image in the original traffic video file into a plurality of image blocks; calling a multi-thread parallel computing and deep learning target detection algorithm to detect targets in all image blocks, and outputting a target positioning result; acquiring and counting target positioning results in all the image blocks, taking the target positioning results as intermediate input, and incorporating a detection result of the video image; and calling a non-maximum suppression algorithm to screen out the target with the highest detection score from the detection result, marking the target,merging the image blocks, and outputting a final image. According to the method, the video target detection precision and efficiency are improved.
Description
technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a multi-threaded parallel computing traffic video object detection method and device. Background technique [0002] In the field of intelligent transportation, the recognition and detection of video vehicle targets and pedestrian targets is an important cornerstone and basic research for the realization of intelligent transportation. Intelligent transportation version 2.0 requires the traffic control department to play an important leading role, take measures in a predictable manner, predict traffic flow, congestion and major events, and take corresponding measures and plans. Through the real-time analysis of dynamic data (such as: traffic data), on the premise of meeting people's travel needs, improve people's travel efficiency and the operating cost of the transportation system, and realize the collaborative service of people, vehicles and roads. However, to...
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Login to View More IPC IPC(8): G06K9/00
CPCG06V20/41G06V2201/07
Inventor 文奴汤圣君贺彪原志路
Owner SHENZHEN UNIV