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Moving object detection method under static background based on watershed segmentation

A watershed segmentation and moving target technology, applied in the field of target detection in the field of computer vision technology, can solve the problems of poor anti-noise performance and high computational complexity, achieve good closure, strong robustness, and avoid missing moving points. and the effect of false detection

Active Publication Date: 2013-05-08
SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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Problems solved by technology

The optical flow method uses the optical flow characteristics of the moving target over time, and detects the moving target by estimating the optical flow field, but its computational complexity is too high, and the anti-noise performance is relatively poor, so it is usually not used

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  • Moving object detection method under static background based on watershed segmentation
  • Moving object detection method under static background based on watershed segmentation
  • Moving object detection method under static background based on watershed segmentation

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Embodiment Construction

[0022] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0023] The invention relates to a method for detecting a moving target in a static background based on watershed segmentation, comprising the following steps: preprocessing the collected video data; then using the watershed algorithm of the minimum point to segment the video image, The feature point mapping relationship between frames is used to obtain the feature point motion trajectory in consecutive frames. Finally, a compre...

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Abstract

The invention relates to a moving object detection method under a static background based on watershed segmentation. The method includes that a pre-processing over the collected video data is carried out, then, a watershed algorithm of a minimum point is used for carrying out segmentation over the video images. Feature points motion trail in the consecutive frames are obtained through the feature points mapping relations between the consecutive frames, at last, a comprehensive evaluation model is utilized. Seven main influential factors of the feature points track information are taken into consideration comprehensively. By calculating the comprehensive evaluation score of each feature point, the feature points lower than the setting threshold is regarded as a moving object. The moving object detection method under the static background based on watershed segmentation has the advantages of being simple to achieve, low in computation complexity. The moving objects can be judged steadily and accurately, and the moving object detection method under the static background based on watershed segmentation is suitable for a real time high resolution video monitoring system.

Description

technical field [0001] The invention relates to target detection in the technical field of computer vision, in particular to a watershed segmentation-based moving target detection method in a static background. Background technique [0002] Computer vision is a multidisciplinary technical field that combines computer science, signal processing, mathematics, and applied mathematics. Object detection is an important research direction in the field of computer vision, and the detection of moving objects is even more challenging. Moving object detection is mainly to study the detection, extraction, and recognition of moving objects in video image sequences, and to obtain the position, speed, acceleration and trajectory of moving objects. Moving target detection has a wide range of application backgrounds, such as traffic detection, anti-intrusion systems, video surveillance, video retrieval and other fields, and also plays an important role in the military field of weapon guidan...

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Application Information

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IPC IPC(8): G06T7/20G06T5/00
Inventor 徐小龙谷宇章胡珂立魏智邹方圆张诚
Owner SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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