Object detection and object cutting algorithm based on time sequence and frequency domain filtering
A technology of object detection and cutting algorithm, applied in the field of image processing
Pending Publication Date: 2021-09-10
苏州幻岛信息科技有限公司
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The traditional optical flow method, KNN, MOG2, GMG and other algorithms cannot perform long-term and stable extraction processing on the target object in this scene
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[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.
[0027] In the following description, many specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, therefore, the protection scope of the present invention is not limited by the specific implementation disclosed below. Example limitations.
[0028] In the description of the present application, it should be understood that the terms "c...
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The invention discloses an object detection and object cutting algorithm based on time sequence and frequency domain filtering, and the algorithm comprises the following steps: S1, inputting a video, and extracting a key frame; s2, intercepting low-frequency information in a frequency domain, and calculating a real-time background image and an adaptive threshold in a time sequence according to a formula; s3, after low-frequency information is intercepted from an input current frame, obtaining a foreground image by taking the real-time background image calculated in the S2 and the adaptive threshold value as standards, carrying out foreground and background discrimination on the current frame, cutting a target object in the current frame image through an object cutting algorithm, tracking the foreground object, and removing wrong objects; and taking the next frame as a new current frame, and performing background state calculation and object detection again. According to the real-time background updating method and the self-adaptive threshold provided by the algorithm, when the target object is detected, the influence caused by light condition changes can be overcome, the requirement for stably extracting the target object is met, and the detection accuracy under various scenes is improved.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to an object detection and object cutting algorithm based on time series and frequency domain filtering. Background technique [0002] In the garbage recognition scene, it has the characteristics of large objects, long time, and strong changes in light. The traditional optical flow method, KNN, MOG2, GMG and other algorithms cannot perform long-term and stable extraction processing on the target object in this scene. Through a suitable threshold segmentation, the target is separated from the background according to the inconsistency between the gray level of the target and the background gray level, which greatly reduces the background interference and provides good image conditions for subsequent identification and tracking. [0003] Therefore, it is necessary to design an object detection and object cutting algorithm that can resist complex background interference and li...
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Login to View More IPC IPC(8): G06K9/00G06K9/38G06K9/40G06K9/46G06T5/00G06T7/11G06T7/136G06T7/194G06T7/246G06T7/254
CPCG06T7/11G06T7/136G06T7/194G06T7/246G06T7/254G06T2207/10016G06T2207/20024G06T2207/20036G06T5/70
Inventor 唐蔚然
Owner 苏州幻岛信息科技有限公司