Skeletonization and template matching-based traffic police gesture identification method

A gesture recognition and template matching technology, applied in the field of pattern recognition, can solve the problem of not taking into account the complexity of the calculation and the reliability of the result, and achieve the effect of improving the refinement efficiency and reducing the computational complexity.

Active Publication Date: 2011-07-13
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the shortcomings of the existing traffic police gesture recognition method based on vision that cannot take into account the complexity of c

Method used

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  • Skeletonization and template matching-based traffic police gesture identification method
  • Skeletonization and template matching-based traffic police gesture identification method
  • Skeletonization and template matching-based traffic police gesture identification method

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the drawings.

[0045] Reference Figure 1 ~ Figure 7 , A traffic police gesture recognition method based on skeletonization and template matching, including three processes of traffic police key gesture extraction, skeletonization and recognition:

[0046] (1) The traffic police gesture extraction process is as follows:

[0047] The current frame and the background frame are based on the gray-scale difference to extract the moving objects and binarize them, and perform digital morphological closing operations to fill in the possible holes in the image. The binary image size is normalized (each image frame height is 100 Pixels) to avoid the impact of the subsequent traffic command gesture recognition due to the image frame size. example figure 2 An example of the left-turn gesture image from the background difference to the size normalization.

[0048] Key gesture extraction process: Traffic command ge...

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Abstract

The invention discloses a skeletonization and template matching-based traffic police gesture identification method, which comprises the following steps of: (1) extracting key gestures of a traffic police, performing binarization on gesture sequence images, and normalizing the size of the binary images; (2) extracting the image outline of the key gestures of the traffic police, performing skeletonization by adopting outline deletion to obtain skeletons of the key gesture images of the traffic police, and storing the skeletons corresponding to various key gestures of the traffic police in a template library; and (3) extracting the key image of the current traffic police gesture sequence, performing skeletonization by adopting outline deletion to obtain the current gesture skeleton, matching the current gesture skeleton and each skeleton in the template library to find the most similar skeleton serving as the current traffic police gesture skeleton, and obtaining identification results of traffic police fingers. By the method, high reliability of the identification results can be ensured under low calculation complexity.

Description

Technical field [0001] The present invention relates to the field of pattern recognition, and in particular to a method for traffic police gesture recognition based on machine vision. Background technique [0002] With the rapid development of social economy, urban traffic congestion has become increasingly globalized. The increasingly severe traffic congestion has seriously affected people's daily life and hindered economic development. Relying solely on the coordination of traffic lights can no longer meet the needs of today's traffic well, and the use of gesture control by traffic police will make up for the shortcomings of traffic lights in certain large-scale intersections. Especially when traffic jams are caused by weather, the traffic police can control traffic flow according to the traffic conditions at the scene and through traffic gestures, so that traffic arteries can flow smoothly, reduce environmental pollution, save energy, and improve driving safety. With the cont...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 方路平曹平李文杰陈上万李国鹏
Owner ZHEJIANG UNIV OF TECH
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