A hardware structure of object detection based on deformable part model algorithm
A component model and target detection technology, applied in the field of image processing, can solve problems such as slow detection speed and waste of memory resources
Active Publication Date: 2020-07-24
智擎信息系统(上海)有限公司
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[0005] The embodiment of the present application aims to provide a target detection hardware structure based on a deformable part model algorithm to solve the problems of wasting a large amount of memory resources and slow detection speed in the prior art using software programming
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[0056] In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0057] The embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings.
[0058] Such as figure 1 As shown, according to one aspect of the present application, a target detection hardware structure based on a deformable component model algorithm is provided, and the hardware structure can be implemented using a field programmable gate array FPGA chip, specifically including:
[0059] The image decoding...
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The application discloses an object detection hardware structure based on deformable part model algorithm. The structure includes a picture decoding module, a double linear interpolation module which is connected to the picture decoding module, an external buffering structure module which is connected to the double linear interpolation module, a HOG feature extracting module which is connected to the external buffering structure module, a main convolution module and a secondary convolution module which are connected to the HOG feature extracting module, a distance converting module which is connected to the secondary convolution module, a score computing module which is connected to the main convolution module and the distance converting module, and a picture scheduling control module which is connected to the external buffering structure module and controls the entire computing procedure. According to the application, the structure sufficiently uses data bandwidth to conduct hardware production line processing and parallel computing, so that the degree of parallelism of data processing is increased, object identification of input test pictures is eventually realized, the throughput rate of data is effectively increased, and the object detection speed is substantially increased.
Description
technical field [0001] The present application relates to the technical field of image processing, in particular to a target detection hardware structure based on a deformable part model algorithm. Background technique [0002] Image processing is a very popular field recently, involving military, industry and all aspects of life. As a subfield in the field of image processing, target detection has a wide range of applications in pedestrian detection, automatic driving, security and other fields. Deformable part models (DPM, deformable part models) is the most popular object detection model in images in recent years. It is popular because it can accurately detect targets and is recognized as a better target detection algorithm. The DPM algorithm was proposed by Pedro F. Felzenszwalb et al. This algorithm has won the detection championship for three consecutive years in the PASCAL VOC challenge, a benchmark test for classification recognition and detection of visual objects....
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IPC IPC(8): G06T9/00G06T3/40G06T1/60
CPCG06T1/60G06T3/4007G06T9/00
Inventor 曹伟黄峰杨贤孙亚洲王伶俐周学功詹琪焦黎高敏
Owner 智擎信息系统(上海)有限公司