Pedestrian bag detection method and device, electronic equipment and storage medium
A detection method and knapsack technology, applied in the field of image recognition, can solve problems such as difficult detection of knapsack objects, affecting the accuracy of pedestrian knapsacks, and knapsack occlusion
Active Publication Date: 2021-09-10
济南博观智能科技有限公司
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However, the size of the backpack is small, and the human body is easy to block the backpack, which makes it difficult to detect the backpack object and affects the accuracy of pedestrian backpack detection.
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[0048] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0049] In related technologies, the detection of pedestrian backpacks usually uses a deep learning network model to determine the pedestrian area in the image to be detected, and detects the backpack subject in the pedestrian area. However, the size of the backpack is small, and the human body is easy to block the backpack, which makes it dif...
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The invention discloses a pedestrian bag detection method and device, electronic equipment and a storage medium, and the method comprises the steps of: obtaining a to-be-detected image, and determining a bag detection region and a strap detection region in the to-be-detected image, wherein the bag detection region comprises the strap detection region; when a preset bag detection model detects a bag in the bag detection region, generating a bag type detection result corresponding to the bag; and when the preset bag detection model does not detect a bag in the bag detection region, determining a strap type in the strap detection region by using a preset strap detection model, and determining a bag type detection result according to the strap type. According to the invention, main body features and strap features of a bag are detected based on the bag detection region and the strap detection region included in the bag detection region, and when the main body is shielded, the strap features can still be detected, so that it can ensured that the bag detection result and the strap detection result come from the same bag, and the accuracy and the flexibility of pedestrian bag detection can be improved.
Description
technical field [0001] The invention relates to the field of image recognition, in particular to a pedestrian backpack detection method, device, electronic equipment and storage medium. Background technique [0002] In the field of image recognition, the process of extracting target attributes has always been an important part of target recognition tasks. For example, in pedestrian recognition, judging whether a pedestrian target carries a bag and the type of bag is an important content of human body attribute recognition. [0003] In related technologies, the detection of pedestrian backpacks usually uses a deep learning network model to determine the pedestrian area in the image to be detected, and detects the backpack subject in the pedestrian area. However, the size of the backpack is small, and the human body is easy to block the backpack, which makes it difficult to detect the backpack object and affects the accuracy of pedestrian backpack detection. Contents of the ...
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IPC IPC(8): G06K9/00G06K9/20G06K9/62
CPCG06F18/214
Inventor 余永龙
Owner 济南博观智能科技有限公司