Adaboost-based reconfigurable device for object detection
A technology of object detection and algorithm, which is applied in the direction of processor architecture/configuration, can solve the problems of unified calculation flexibility and parameter configuration flexibility, and the effect is not very good, so as to enhance flexibility, reduce energy consumption, and improve processing capacity Effect
Active Publication Date: 2016-02-24
TSINGHUA UNIV
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Although the hardware implementation system of the AdaBoost algorithm in the prior art considers the flexibility of object detection, it does not well unify the calculation flexibility and parameter configuration flexibility to the hardware architecture, so the effect is not very good
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[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0028] It should be noted that the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. Further, in the description of the present invention, unless otherwise specified, "plurality" means two or more.
[0029] A reconfigurable device based on the AdaBoost algorithm for object detection according to an embodiment of the present invention will be described below with reference to the accompanying drawings.
[0030] figure 1 It is a structural block diagram of a reconfigurable devi...
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The invention provides a reconfigurable device used for detecting an object and based on AdaBoost algorithm. The device comprises an image input and output module, a plurality of processing array modules, a multiplying and adding array module and an analytical control module, wherein the image input and output module is used for receiving a first image inputted and outputting a second image as a result of processing; the processing array modules are used for performing processing calculation to the first image according to arranged calculation configuration parameters and virtual extension parameters; the multiplying and adding array module is used for processing the multiplying and adding operation during the processing calculation of the processing array modules to the first image; and the analytical control module is used for inputting the calculation configuration parameters and the virtual extension parameters to the processing array modules according to the control of a control signal and outputting of processing data of the processing array modules. Through the adoption of the reconfigurable device, multiple operation requirements can be satisfied by the fewest hardware resources; the execution efficiency is improved; the on-line parameter configuration can be also realized; redundant calculation resources are balanced; and the energy consumption is reduced.
Description
technical field [0001] The invention relates to computer image processing technology, in particular to a reconfigurable device based on AdaBoost algorithm for object detection. Background technique [0002] Object detection based on the AdaBoost algorithm has been widely used, such as automatic driving, unmanned monitoring and human-computer interactive entertainment. The AdaBoost algorithm (see Y. Freund, R.e. Schapire, "Ashort introduction to boosting," Journal of Japanese Society for Artificial Intelligence, pp.771-780, 1999.) is mainly divided into logical stages such as image preprocessing, integral image generation and cascade classification. These algorithmic logics include many parallel logics and stream processing logics with different degrees of parallelism. The traditional ASIC method cannot make good use of these characteristics to improve the processing speed due to its internal fixed circuit structure; while the internal logic circuit is flexible and configurab...
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IPC IPC(8): G06T1/20
Inventor 尹首一欧阳鹏刘雷波魏少军
Owner TSINGHUA UNIV