Semantic Analysis Method of Indoor Behavior Trajectories Based on Passive Infrared Sensors
A technology of trajectory movement and semantic analysis, applied in the field of computer and geographic information systems, can solve the problems that cannot meet the huge demand for trajectory behavior semantics, analysis and application difficulties, etc.
Active Publication Date: 2020-01-21
NANJING NORMAL UNIVERSITY
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[0035] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.
[0036] The embodiment of the present invention provides a passive infrared sensor-based indoor behavior track movement semantic analysis method, the core steps of which are as follows figure 1 shown. First, according to the indoor area plan and the distribution coordinates of infrared sensors, combined with the adjacency relationship of sensors, an undirected and unweighted sensor network graph is constructed with sensors as nodes; then, the selected analysis points of interest are used as search centers to expand outwards The most adjacent nodes in the four directions of up, down, left, and right form a spatial analysis window. From the spatial analysis window, select the selected point of interest and sensor nodes in the four neighborhood directions to form a connected subgraph, and establish a cente...
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The invention discloses a passive infrared sensor-based indoor behavior track movement semantic analysis method, including: (1) constructing a sensor network diagram according to the indoor plan, sensor positions and adjacent relationships; (2) defining a spatial analysis window with indoor interest points , establish a five-neighborhood model including the central interest point and four neighborhood direction sensors as the smallest spatial unit, and perform neighborhood encoding; (3) define the time analysis window with the time of interest related to the point of interest, and use the sensor response time and response sequence Sequentially delineate the front and back response sequences; (4) Rely on the five-neighborhood model and neighborhood coding to establish individual and group motion codes; (5) Establish semantic extraction rules to calculate the motion codes composed of front and back response sequences, corresponding The smallest semantic unit is interpreted to get the final motion semantics. The invention integrates the motion semantic relationship into the expression of sensor information, and solves the problem of semantic analysis of human activity trajectories with only messy response sequences.
Description
technical field [0001] The invention relates to the field of computer and geographic information system, especially the track and human behavior analysis related to sensor network. Background technique [0002] With the rapid development of the Internet of Things and mobile emerging technologies, geographic information positioning technology is becoming more and more mature, and the collection of spatio-temporal trajectory data has become the norm. Among them, the PIR sensor (passive infrared sensor), also known as the passive infrared sensor, has been widely used in indoor monitoring, security location services and other fields due to its cost and power consumption advantages in passive infrared detection of human body infrared information. At the same time, because of its easy data acquisition and effective protection of personal privacy, it is also often used to analyze individual and group behavior. The difficulty of individual and group behavior analysis based on PIR s...
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IPC IPC(8): G06K9/00
CPCG06V40/20
Inventor 俞肇元罗文袁帅袁林旺冯琳耀朱帅闾国年
Owner NANJING NORMAL UNIVERSITY