Journal
Scientific and Technical Journal of Information Technologies, Mechanics and Optics
UDK004.942
Issue:4 (134)
Download PDF0 Kbyte
A study of human motion in computer vision systems based on a skeletal model
Annotation
Methods of studying human motion in computer vision systems can be divided into two types. These are analysis in two-dimensional and three-dimensional space. The former uses a single camera image and/ or multiple body sensors. Such an approach leads to a rapid accumulation of error and, consequently, low accuracy of the figure representation. Multiple cameras are usually used in the case of three-dimensional space analysis, while the objects are represented as sets of volumetric elements. Despite the high accuracy of this method, it is associated with high computational complexity and internal network load. The purpose of the paper is to develop a model using a single camera, while approaching three-dimensional space analysis methods in terms of accuracy. In this paper a human figure is represented as a skeleton. The skeleton is described by an acyclic connected graph. The general structure of a human figure is analyzed. Fifteen basic points are selected. Physical and logical connections between them were studied and mathematically described. The velocity and spatial characteristics of the points and connections outline the general dynamics of motion. The study describes a model of human motion and gives the option for model construction on the example of a particular image. The developed algorithm for collection and analysis of information estimates relative locations and velocity characteristics of the graph elements. The model can be used for acquisition of information about the reference dynamics of human movements. In case of detecting major differences between the reference and the reality, the behavior is defined as deviant. Thus, the obtained algorithm can be applied in computer vision systems for detection and analysis of human movements.
Keywords
Постоянный URL
Articles in current issue
- On the feasibility of the monostatic scheme for constructing the land-based telescope at supervision of space objects
- DREM procedure application for piecewise constant parameters identification
- Features of the morphology of micro- and nanoporous copper and silver films synthesized by substitution reaction for photocatalytic application.
- Nature-inspired metaheuristic scheduling algorithms in cloud: a systematic review
- Evaluation of the applicability of asynchronous programming methods to the data consistency problem in a microservices environment
- A factor model for detection and recognition of human face contours and elements
- A study of the stability of information and telecommunication networks under conditions of stochastic percolation of nodes
- Context-free path querying with all-path semantics using matrices with sets of intermediate vertices.
- Decision support system for the proton therapy implementation
- Determination of dangerous driving behavior based on the use of information from wearable electronic devices
- An automata-based programming engine
- Bayesian losses for homoscedastic aleatoric uncertainty modeling in pollen image detection
- The speech synthesis detection algorithm based on cepstral coefficients and convolutional neural network
- Risk assessment methodology for information systems, based on the user behavior and IT-security incidents analysis
- Identification of user accounts by image comparison: the pHash-based approach
- Solution of super- and hypersonic gas dynamic problems with a model of high-temperature air
- Modeling security violation processes in machine learning systems
- Mathematical modeling of an optimal oncotherapy for malignant tumors.
- A numerical study of the expansion of a gas-particles mixture with axial symmetry.
- The study of the birefrigence modulator based on lithium niobate