36 results about "Crowd monitoring" patented technology

The invention provides a method and system for judging the crowd density in an image. The method comprises the following steps: 1. selecting a target region from a video image sample acquired in an image acquisition device by utilizing a block analysis unit, and carrying out block analysis of image blocks in the target region; 2. determining the composite form of two-classifiers by a coding unit;3. selecting a confidence training sample by a training unit, and respectively training each two-classifier; and 4. obtaining the crowd density grade category of the maximum posteriori probability through a decoding unit by means of a channel transmission model. The method can be suitable for obtaining the credible crowd density grade in different scenes and can provide the basis for crowd monitoring and safety guarantee of important regions.

The invention provides a method for analyzing and predicting large-scale crowd density. The method comprises the following steps: performing crowd density analysis on an input video based on crowd density analysis with statistical characteristics, and acquiring a crowd density value of a single monitoring point; realizing the mutual conversion of the crowd density and the number of people throughmulti-stage linear fit; calculating the flow speed and the flow direction of crowd in the single monitoring point by an optical flow method, and acquiring the information of the flow speed and the flow direction of the crowd in the single monitoring point; and establishing a structure of a directed graph according to the relation between the spatial positions of each of monitoring points and the flow direction and the flow speed of the crowd, and performing the prediction of the number of the people and the crowd density in a period of time on an import monitoring hub node. Due to the method,the crowd density and the distribution of the number of the people in a large area can be automatically monitored in real time, and the prediction of the crowd density and the number of the people can be performed on an import place; and the information provided by the method has important reference value for a crowd monitoring department.

The invention discloses a location data real-time wireless transmission method for burst high load condition. The location data real-time wireless transmission method comprises the following steps: (1), setting two threshold values c1 and c2 for number of connections for communication AP, wherein c1 and c2 are natural numbers, c1 is smaller than c2, k is larger than 0 and smaller than 1, k is a real number and is 0.7 generally; C2 is the maximum channel number for wireless protocol support; and (2), selecting the communication AP with the minimum load for connection according to the position of positioning equipment at present and the load of all APs in a range of taking the position as a circle center and semidiameter as r by the positioning equipment, and then uploading location data to the AP. The method is successfully applied to a monitoring system based on wireless indoor positioning; and the practice shows that an indoor positioning system configured with the method can be good in real-time performance in dense crowd monitoring.

The invention discloses a CAD (computer-aided design) people counting method based on FAST (features from accelerated segment test), and belongs to the field of computer vision-based people counting. The method is characterized in that after a crowd surveillance video image is subjected to filtering preprocessing, an FAST corner feature vector of a current image is obtained through a corner detection algorithm; a low-density crowd image and a high-density crowd image is divided according to the ratio of the number of feature points and the sum of pixels of the current crowd image, and foreground images of the low-density crowd image and the high-density crowd image are extracted; as for the foreground image of the low-density crowd image, the connected domain area T obtained through an erosion algorithm is taken as an FAST point, and as for the foreground image of the high-density crowd image, a neighbor domain is established for the core point of each pixel through an OPTiCS algorithm, then, the minimum reach distance from the core point of each neighbor domain to each pixel is taken as the minimum reach distance in each neighbor domain, and an FAST point vector X of the high-density crowd is constructed accordingly; a crowd evaluation model is constructed according to T, X and the distance D between a camera and the crowd; and a set training sample is taken as a test vector for performing SVM (support vector machine) training, so that the counting speed and the accuracy rate are increased.

The invention discloses a method and system for detecting crowd escape events based on a direction-cluster model. In order to solve the problem of low detection accuracy in the crowd escape event detection method, the technical solution is to extract the movement trajectory from the crowd monitoring video to obtain the trajectory coordinate matrix, and then calculate the speed and direction of the moving particles on the movement trajectory through the trajectory coordinate matrix ; Based on the speed of the moving particles and the disorder of the direction, set up the direction-cluster model representing the motion state of the crowd; calculate the direction-cluster index of each frame of crowd monitoring video according to the direction-cluster model; from all obtained The event detection threshold is adaptively extracted from the direction-cluster index, and then the event detection threshold is compared with the direction-cluster index of each frame of crowd surveillance video to finally detect crowd evacuation events in the crowd surveillance video. This method is widely used in medium and high-density populations with high detection accuracy.