Moving object detection method and system
A technology of moving objects and detection methods, which is applied in the field of data processing, can solve problems such as unobvious features, image motion blur, and small size ratio of target objects, so as to avoid traversal search, improve robustness, and reduce the amount of calculation.
Active Publication Date: 2021-06-15
OMNIVISION SENSOR SOLUTION (SHANGHAI) CO LTD
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However, usually the proportion of the target object in the image will be relatively small, which will cause a lot of redundant computing power to be consumed in areas other than the target object, so it is a big challenge for the real-time performance of the algorithm.
Moreover, when the object moves too fast, traditional images usually produce motion blur, so that the features of the moving object in the image are not obvious or change, which leads to the failure of traditional object detection and recognition algorithms
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[0027] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0028] In recent years, Dynamic Vision Sensor (DVS) has received more and more attention and applications in the field of computer vision. DVS is a biomimetic visual sensor that mimics the human retina based on spike-triggered neurons. The sensor has a pixel unit array composed of multiple pixel units, and each pixel unit will respond and record the area where the light intensity changes rapidly only when it senses a change in ligh...
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The invention discloses a moving object detection method and system. The moving object detection method comprises the following steps: dividing a preset image template into a plurality of image blocks with the same size; counting the number of event data included in each image block within a predetermined duration, the event data coming from a dynamic visual sensor and being triggered by relative motion of an object in a field of view and the dynamic visual sensor; determining at least one image block containing a moving object according to the quantity of the event data corresponding to each image block; and based on the determined image block, generating an object candidate frame, wherein the object candidate frame points to the detected moving object. The invention also discloses the corresponding computing equipment.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to a moving object detection solution. Background technique [0002] Object detection methods based on traditional image sensors usually require a traversal search of the entire image. These detection methods include traditional machine learning algorithms, such as Adaboost, Random Forest, etc.; and deep learning algorithms that are currently widely studied, such as YOLO, Faster RCNN, SSD, etc. However, usually the size ratio of the target object in the image is relatively small, which will cause a lot of redundant computing power to be consumed in areas other than the target object, thus posing a big challenge to the real-time performance of the algorithm. Moreover, when the object moves too fast, traditional images usually produce motion blur, so that the features of the moving object in the image are not obvious or change, which leads to the failure of traditional object...
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Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06F18/214G06F18/2411G06T7/215G06T2207/20021G06T7/20
Inventor 牟晓正
Owner OMNIVISION SENSOR SOLUTION (SHANGHAI) CO LTD