Target detection method, target detection model and target detection system based on cascade detector

Abstract

The invention discloses a target detection method, a target detection model and a target detection system based on a cascade detector. The target detection method comprises the following steps of S1,training the target detection model by adopting a training data set with a target label; S2, inputting a to-be-detected picture into the trained target detection model, and performing feature extraction, upsampling and feature fusion to obtain feature maps P2, P3,..., Pn with different sizes; S3, predicting according to the feature map Pn to obtain a target position Bn and a category Cn; extracting corresponding features from the corresponding feature map Pi-1 according to the target position Bi for target prediction to obtain a target position Bi-1 and a category Ci-1, i = 3-n; S4, taking thetarget position B2 as a final prediction result. According to the invention, through the multiple iterative regression prediction of the the target candidate box, the target position with more accurate prediction is obtained, the target detection precision is improved, and the detection accuracy is higher.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and more specifically relates to a cascaded detector-based high-precision target detection model, target detection system and method. Background technique [0002] In the field of computer vision, target detection is a very active and challenging research direction. Unlike classification tasks, target detection not only needs to identify the category of the target, but also locates the position of the target, so as to achieve the task of positioning and recognition. , It is closely related to many real-life applications, such as the detection and recognition of license plates in the field of traffic security, the detection and recognition of driverless car traffic lights and traffic signal signs, the algorithm of camera face positioning, etc. Target detection is usually divided into two steps: the first step is to locate the target area, and the second step is to identify the content in t...

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Problems solved by technology

[0005] Aiming at at least one defect or improvement requirement of the prior art, the present invention provides a cascaded detector-based target detection method, target detection model and system, and performs multiple target bounding boxes on feature maps of different scales during prediction Regression, in order to obtain a more accurate positioning of the bounding box, the purpose is to solve the problem of low target positioning accuracy existing in the existing target detection method

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