Target recognition method implemented by combining small image comparison and fuzzy recognition

A technology of fuzzy recognition and target recognition, applied in the field of target recognition, can solve the problem that the accuracy rate of human head recognition cannot reach 100%, and achieve the effect of improving the human head detection rate and the accuracy rate

Active Publication Date: 2015-01-07
SHENZHEN XIAOZHOU TECH
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AI Technical Summary

Problems solved by technology

Pattern recognition will perform pattern recognition based on the collected video data to obtain the coordinates of people. However, considering the large differences in actual scenes, the accuracy of head recognition through pattern recognition algorithms cannot reach 100%. According to small The scale test results can reach about 70%

Method used

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Embodiment Construction

[0023] This embodiment is a preferred implementation mode of the present invention, and other principles and basic structures that are the same or similar to this embodiment are within the protection scope of the present invention.

[0024] Please see attached figure 1 , the target recognition method that the present invention combines small image comparison and fuzzy recognition, it specifically comprises the following steps:

[0025] Step S1: Collect images through the camera, and each frame of images collected will be received sequentially in chronological order. Therefore, in this embodiment, these images are first numbered, starting from frame 0, and each time a frame is received, its frame number will be Add 1, and put the 25 frames of images recently received into the cache (referred to as the large image cache, the same below).

[0026] Step S2: Pattern recognition algorithm: Acquire images from the cache in sequence, and perform head detection on the frame image. Hea...

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Abstract

The invention discloses a target recognition method implemented by combining small image comparison and fuzzy recognition. Defects of single-mode recognition are overcome, the accuracy rate of human head recognition can be increased by about 10% according to small-scale test results, and therefore the accuracy rate of customer flow is increased. The target recognition method can be applied to the field of customer flow statistics. By means of the target recognition method, the human head detection rates in different regions or at different angles under the same environment can be increased, and the human head detection rates under different environments can be increased. According to test results under an actual environment, the human head detection rate is increased by about 10% compared with that in the prior art. The human head detection rates are increased, more realistic trajectories can be constructed, and therefore the accuracy rate of customer flow statistics is increased. According to the test results under the actual environment, the accuracy rate of customer flow statistics is increased by about 5% compared with that in the prior art.

Description

technical field [0001] The invention discloses a target recognition method, in particular a target recognition method combining small image comparison and fuzzy recognition, which belongs to the field of image recognition. Background technique [0002] Passenger flow statistics is a data statistical method based on image recognition. Passenger flow statistics are relatively widely used in commercial supermarkets, shopping centers, specialty stores, 3C digital and other physical stores, as well as for buses, long-distance buses, subway entrances and exits, etc. Passenger flow statistics can be carried out. There are many technologies for passenger flow statistics in the prior art, which are mainly divided into the following types: infrared beam-to-ray technology, gravity sensing technology, WIFI detection technology, video-based moving object detection and video-based pattern recognition technology. From the perspective of accuracy, the highest is the video-based pattern...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V20/53G06V10/94
Inventor 张鹏锐
Owner SHENZHEN XIAOZHOU TECH
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