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Infrared video moving small target real-time detection method based on space-time tensor decomposition

A tensor decomposition, real-time detection technology, applied in image analysis, image data processing, instruments, etc., to achieve good detection effect, improve detection efficiency, and meet the effect of real-time detection

Active Publication Date: 2021-08-13
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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Problems solved by technology

[0005] The technical problem to be solved by the real-time detection method of infrared video moving small targets based on spatio-temporal tensor decomposition disclosed by the present invention is: the infrared video small target detection algorithm based on spatio-temporal tensor model makes full use of the information in the spatio-temporal neighborhood. Effective detection of small targets can improve the detection effect of infrared video small target detection methods in complex background conditions

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  • Infrared video moving small target real-time detection method based on space-time tensor decomposition
  • Infrared video moving small target real-time detection method based on space-time tensor decomposition
  • Infrared video moving small target real-time detection method based on space-time tensor decomposition

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Embodiment Construction

[0079] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described below in conjunction with the accompanying drawings and examples.

[0080] The input video frame size in this example is 320*256 pixels.

[0081] This example discloses a real-time detection method for small moving targets in infrared video based on spatiotemporal tensor decomposition, such as figure 1 shown, including the following steps:

[0082] Step 1. In order to facilitate the construction of spatio-temporal image block tensors in step 2, the video is divided into continuous video frames, and each frame is divided into several image blocks to realize image block preprocessing.

[0083] Divide the video into consecutive video frames, and then divide each frame into several image blocks. Image segmentation is performed in a sliding window manner. Firstly, the size of the video frame image is completed to an integer multiple of ...

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Abstract

The invention discloses an infrared video moving small target real-time detection method based on space-time tensor decomposition, and belongs to the field of video processing and target detection. Each input video frame image is partitioned, the partitioning results of several adjacent frames of images are fully utilized, the three-dimensional matrix tensor is constructed, only the memory space of the key tensor in one three-dimensional matrix tensor is reserved, the memory allocation and release processes are omitted, each frame of target detection result picture is deleted, and memory management is optimized. The video frame required for constructing the space-time image block tensor for the first time is directly partitioned according to the size of the image block, so that the situation that the image blocks with overlapped information are merged into the process of constructing the three-dimensional matrix tensor is avoided, and the initialization process of constructing the space-time tensor is further optimized. The two-dimensional tensor of the target image is obtained through tensor decomposition. And according to the two-dimensional tensor of the target image obtained through tensor decomposition, the infrared small target is detected through a threshold segmentation method, namely, the real-time detection of the infrared video moving small target is achieved based on space-time tensor decomposition.

Description

technical field [0001] The invention relates to a detection method for small infrared video targets, in particular to a real-time detection method for small moving targets in infrared video based on spatiotemporal tensor decomposition, which belongs to the field of video processing and target detection. Background technique [0002] Object detection has been widely used in pedestrian tracking, license plate recognition, unmanned driving, scene monitoring and other fields. Using target detection technology, a series of complex and time-consuming detection and monitoring tasks can be completed, which can save manpower and improve efficiency. However, in the case of night, less visible light information can be provided, which makes target detection more difficult at night. Therefore, infrared imaging equipment is needed for target detection at night. [0003] At present, there are many methods for infrared small target detection tasks, which can be roughly divided into the fol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06K9/00
CPCG06T7/0002G06T7/136G06T2207/10016G06T2207/10048G06T2207/20021G06V20/49G06V2201/07
Inventor 张磊蒋松延徐容恺王文帅温博吴金亮
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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