Target detection method with visible light and far infrared rays fused

A target detection and far-infrared technology, applied in the field of target detection that integrates visible light and far-infrared, can solve the problems of large amount of calculation, unsuitable for real-time vision systems, and high memory capacity requirements

Inactive Publication Date: 2017-12-01
SUZHOU INST OF TRADE & COMMERCE
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Problems solved by technology

Due to the complexity and changeability of the actual scene, the existing target detection algorithms are generally complex, with a larg

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  • Target detection method with visible light and far infrared rays fused
  • Target detection method with visible light and far infrared rays fused
  • Target detection method with visible light and far infrared rays fused

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Embodiment Construction

[0026] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0027] The compressive sensing theory breaks through the requirement of the number of samples under the traditional Laquist theory. As long as the signal is compressible or sparse, the transformed high-dimensional signal can be sampled through the observation matrix satisfying certain conditions to obtain a After sampling the low-dimensional signal, and then solving an optimization problem, the original signal can be perfectly reconstructed from a small number of sampled values.

[0028] The background subtraction method is a relatively mature method in the field of target detection and is widely used. This method subtracts the pixel value of the current frame of the video image from the corresponding position of the background model, and when the absolute value of the difference is greater than a certain threshold, it is determin...

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Abstract

The invention discloses a target detection method with visible light and far infrared rays fused. The method comprises steps: an acquired visible image and an acquired far infrared thermal imaging image are blocked, and the obtained image blocks are converted to N*1 vectors; a mixed sampling matrix is constructed to carry out acquisition and compression on converted vectors to obtain each image block after compression; a pixel-level background modeling algorithm is adopted to detect each pixel point in each image block after compression, and a target area and a background area in the image block are determined; and the detected target image and the far infrared thermal imaging image are overlapped to obtain a target image after fusion. As the mixed sampling matrix is adopted to sample and compress the image, the calculation data amount is reduced, the learning rate is adjusted according to an area, the average calculation time is reduced, the pixel number is reduced on the whole, the background modeling time is effectively reduced, and compared with the traditional target detection algorithm, the target detection method of the invention enables the memory capacity to be reduced by three fourths and the processing time can be reduced by more than 40%.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to a target detection method that combines visible light and far infrared rays. Background technique [0002] In the application field of real-time vision system related to computer vision, the detection of the target in the acquired visual image is the first step. The quality of the target detection algorithm affects further visual processing such as follow-up tracking and behavior recognition. Due to the complexity and changeability of the actual scene, the existing target detection algorithms are generally complex, with a large amount of calculation and high memory capacity requirements, and are not suitable for real-time vision systems with limited resources. [0003] Therefore, the target detection algorithm for the real-time vision system must first consider the problem of algorithm efficiency, and reduce the amount of calculation and storage capacity as much as possi...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06T7/254
CPCG06T7/254G06T2207/10048G06T2207/20021G06T2207/20081G06T2207/20224G06T2207/20221G06V20/00G06V10/44G06V2201/07G06F18/22
Inventor 方武
Owner SUZHOU INST OF TRADE & COMMERCE
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