Target posture recognition method and device and electronic device
A technology of target posture and recognition method, applied in the field of image processing, which can solve the problems of low accuracy of posture recognition, limited feature points, and less information
Active Publication Date: 2019-04-23
HANGZHOU HIKVISION DIGITAL TECH
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[0003] However, the feature points in the feature point model are limited, and the feature point model carries less information, resulting in lower accuracy of pose recognition
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[0211] As an implementation, the device may also include:
[0212] The second input module (not shown in the figure) is used to input the image features and the shape features and / or structural features of the target into the environmental neural network model obtained in advance to obtain the environmental factors of the environment where the target is located ; Wherein, the environmental neural network model is: according to the environmental factors corresponding to the preset feature samples, the network parameters of the environmental neural network with the preset structure are trained, and the feature samples include image features and shape features of the target and / or structural features.
[0213] As an implementation, the device may also include:
[0214] A fusion module (not shown in the figure), configured to fuse the shape features and / or structural features of the target with the image features to obtain fused features;
[0215] The first input module 804 can ...
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The embodiment of the invention provides a target attitude identification method and device, and the method comprises the steps of carrying out the pre-training of obtaining a neural network model, carrying out the training of the network parameters of a neural network of a preset structure according to the attitude information corresponding to a preset feature sample, and obtaining the neural network model; when target posture recognition is carried out, determining image characteristics of an image area where a target is located and shape characteristics and / or structure characteristics of the target, inputting the image characteristics and the shape characteristics and / or the structure characteristics into the neural network model, and outputting the posture of the target, so that according to the scheme, the target posture is recognized based on the neural network model, on the first hand, the neural network model is obtained based on training of a large number of samples, the carried information is richer than information carried by the feature point model, and the recognition accuracy is higher; and on the second hand, the network parameters of the neural network model in thescheme carry the image features and the shape features and / or structural features of the target, and the recognition accuracy is further improved.
Description
technical field [0001] The present invention relates to the technical field of image processing, in particular to a target posture recognition method, device and electronic equipment. Background technique [0002] In the process of image processing, it is usually necessary to recognize the pose of the target in the image, such as face angle recognition, human pose recognition, vehicle pose recognition, etc. Existing recognition schemes usually include: for the same type of target (such as human face, human body, vehicle, etc.), pre-constructing the feature point model under each posture; The feature points are matched with the constructed feature point models, and the pose corresponding to the successfully matched model is the pose of the target. [0003] However, the feature points in the feature point model are limited, and the feature point model carries less information, resulting in lower accuracy of pose recognition. Contents of the invention [0004] The purpose o...
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IPC IPC(8): G06K9/62
CPCG06T7/73G06T2207/20084G06T2207/20081G06F18/22G06F18/214
Inventor 郑钢钮毅
Owner HANGZHOU HIKVISION DIGITAL TECH