6 results about "Behavior recognition" patented technology

The invention discloses a behavior recognition method based on intelligent sub-space networks. The method specifically includes the following steps of preprocessing and learning spatial characteristics, extracting spatial and temporal characteristics, representing videos as histogram vectors, training SVM classifiers and recognizing behaviors. According to the behavior recognition method based on the intelligent sub-space networks, the spatial characteristics are extracted from video data, the spatial characteristics are then pooled so that the characteristics equivalent to the spatial and temporal characteristics can be obtained, each video sequence is represented as the corresponding histogram vector about all words in a word bag through a word bag method, multiple types of behaviors are recognized through the trained SVM classifiers and a one-to-many strategy, the robustness of behavior recognition is increased, and the behavior recognition rate is increased.

The invention provides a behavior recognition method and system based on an attention mechanism double-flow network, and belongs to the technical field of behavior recognition, and the method comprises the steps: dividing an obtained whole video segment into a plurality of video segments with the same length, extracting an RGB image and an optical flow gray-scale image of each frame of each videosegment, and carrying out the preprocessing of the RGB images and the optical flow gray-scale images; carrying out random sampling on the preprocessed image to obtain an RGB image and an optical flowgrayscale image of each video clip; extracting appearance features and time dynamic features of the sampled images by using a double-flow network model introducing an attention mechanism, fusing the appearance features and the time dynamic features according to the types of a time domain network and a space domain network respectively, and performing weighted fusion on a fusion result of the timedomain network and a fusion result of the space domain network to obtain an identification result of the whole video. According to the invention, the video data can be fully utilized, the local key features of the video frame image can be better extracted, the foreground area where the action occurs is highlighted, the influence of irrelevant information in the background environment is inhibited,and the behavior recognition accuracy is improved.

The invention relates to an artificial intelligence technology, and discloses an intelligent detection method for bidding and stringing bidding, which comprises the following steps of: vectorizing a bidding document to be identified of an enterprise to obtain a bidding document vector; inputting the bidding document vector into a multi-layer prediction network in a serial bidding identification model to obtain a plurality of pieces of prediction information, performing full connection on the plurality of pieces of prediction information, and inputting the prediction information after full connection into a binary classifier to obtain a first serial bidding prediction result; bidding information and bidding information of an enterprise are obtained, entities in the bidding information and the bidding information are extracted, and a knowledge graph is constructed according to preset attributes and the entities; performing quantization operation on entities in the knowledge graph to obtain a second bid prediction result and a surrounding bid prediction result of the enterprise; and generating a bidding detection result of the enterprise according to the first bidding prediction result, the second bidding prediction result and the bidding prediction result. The invention further provides an intelligent detection device and equipment for bid enclosing and bid stringing and a medium. According to the invention, the accuracy and efficiency of bid surrounding and bid stringing behavior identification can be improved.