Download Intelligent Surveillance Systems by Huihuan Qian, Xinyu Wu, Yangsheng Xu (auth.) PDF

By Huihuan Qian, Xinyu Wu, Yangsheng Xu (auth.)

Surveillance platforms became more and more renowned. complete involvement of human operators has resulted in shortcomings, e.g. excessive exertions expense, restricted power for a number of displays, inconsistency in long-duration, and so on. clever surveillance structures (ISSs) can complement or perhaps change conventional ones. In ISSs, machine imaginative and prescient, trend acceptance, and synthetic intelligence applied sciences are used to spot irregular behaviours in video clips. They current the advance of real-time behaviour-based clever surveillance platforms. The booklet makes a speciality of the detection of person irregular behaviour in response to studying and the research of harmful crowd behaviour in keeping with texture and optical circulation. sensible structures contain a real-time face type and counting method, a surveillance robotic method that makes use of video and audio info for clever interplay, and a powerful individual counting procedure for crowded environments.

Show description

Read Online or Download Intelligent Surveillance Systems PDF

Similar control systems books

control and design of flexible link manipulator

This monograph is anxious with the advance and implementation of nonlinear mathematical strategies for suggestions regulate and form layout of robotic manipulators whose hyperlinks have huge structural flexibility. a number of nonlinear keep an eye on and statement recommendations are studied and carried out through simulations and experiments in a laboratory setup.

Intelligent Control Systems with LabVIEW™

Clever regulate is a speedily constructing, complicated, and hard box of accelerating functional value and nonetheless higher strength. Its functions have a fantastic center in robotics and mechatronics yet department out into components as varied as method keep watch over, car undefined, clinical gear, renewable strength and air con.

Fault Detection and Fault-Tolerant Control for Nonlinear Systems

Linlin Li addresses the research and layout problems with observer-based FD and FTC for nonlinear structures. the writer analyses the life stipulations for the nonlinear observer-based FD platforms to achieve a deeper perception into the development of FD platforms. Aided by way of the T-S fuzzy strategy, she recommends assorted layout schemes, between them the L_inf/L_2 kind of FD structures.

Multilayer Control of Networked Cyber-Physical Systems: Application to Monitoring, Autonomous and Robot Systems

This e-book faces the interdisciplinary problem of formulating performance-assessing layout methods for networked cyber-physical structures (NCPSs). Its novel allotted multilayer cooperative keep watch over offers concurrently with communication-network and keep an eye on functionality required for the community and alertness layers of an NCPS respectively.

Extra info for Intelligent Surveillance Systems

Sample text

In this case, the initial background is difficult to capture. 2. 2. However, because T 1 is small, the background cannot be updated correctly. 5 seems to strike a balance between updating and filtering with T 1 = 50 and T 2 = 3. 6 uses a better initial background captured by the method proposed in the next section. It can be seen that neither the average- nor the noise filter-based method works in complex scenarios, because the noise is too large to handle. Of course, any method that needs an initial background will not work, either.

During video surveillance, people occasionally move out of the camera’s field of view and re-enter it, which results in blobs being assigned another index number. 3 Tracking 31 Color tracking can help to solve this problem. Instead of assigning a new index, the color tracking algorithm searches in its “memory” for a similar color distribution to make an optimal index assignment. 3 Fusion of the Two Tracking Approaches Distance tracking and color tracking can be applied sequentially together with segmentation methods.

B) Find the feature of the moving object. (c) Update the weight of the particles. (d) Normalize the weight of the particles. Step 3: Output the mean position of the particles that can be used to approximate the posterior distribution. Step 4: Resample the particles randomly to obtain independent and identically distributed random particles. Step 5: Go to the sampling step. Computationally, the crux of the proportional fairness (PF) algorithm lies in the calculation of the likelihood. 1 Target Model Update The target model obtained in the initialization process cannot be used throughout the whole tracking process because of changes in lighting, background environment, and target gestures.

Download PDF sample

Rated 4.38 of 5 – based on 48 votes