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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Intelligent Surveillance Systems

Intelligent Surveillance Systems

Qian, Huihuan
Wu, Xinyu
Xu, Yangsheng

Hardcover

Series: Intelligent Systems, Control and Automation: Science and Eng, Book 51

Technology & EngineeringGeneral Computers

ISBN10: 9400711360
ISBN13: 9789400711365
Publisher: Springer Nature
Published: Mar 23 2011
Pages: 168
Weight: 0.95
Height: 0.70 Width: 6.30 Depth: 9.40
Language: English

1 Introduction; 1.1 Background; 1.2 Existing Surveillance Systems; 1.3 Book Contents; 1.4 Conclusion; 2 Background/Foreground Detection; 2.1 Introduction; 2.2 Pattern Classification Method; 2.2.1 Overview of Background Update Methods; 2.2.2 Pattern Classification-based Adaptive Background Update Method; 2.3 Frame Differencing Method; 2.4 Optical Flow Method; 2.5 Conclusion; 3 Segmentation and Tracking; 3.1 Introduction; 3.2 Segmentation; 3.3 Tracking; 3.3.1 Hybrid Tracking Method; 3.3.2 Particle Filter-based Tracking Method; 3.3.3 Local Binary Pattern-based Tracking Method; 3.4 Conclusion; 4 Behavior Analysis of Individuals; 4.1 Introduction; 4.2 Learning-based Behavior Analysis; 4.2.1 Contour-based Feature Analysis; 4.2.2 Motion-based Feature Analysis; 4.3 Rule-based Behavior Analysis; 4.4 Application: Household Surveillance Robot; 4.4.1 System Implementation; 4.4.2 Combined Surveillance with Video and Audio; 4.4.3 Experimental Results; 4.5 Conclusion; 5 Facial Analysis of Individuals; 5.1 Feature Extraction; 5.1.1 Supervised PCA for Feature Generation; 5.1.2 ICA-based Feature Extraction; 5.2 Fusion of SVM Classifiers; 5.3 System and Experiments; 5.3.1 Implementation; 5.3.2 Experiment Result; 5.4 Conclusion; 6 Behavior Analysis of Human Groups; 6.1 Introduction; 6.2 Agent Tracking and Status Analysis; 6.3 Group Analysis; 6.3.1 Queuing; 6.3.2 Gathering and Dispersing; 6.4 Experiments; 6.4.1 Multi-Agent Queuing; 6.4.2 Gathering and Dispersing; 6.5 Conclusion; 7 Static Analysis of Crowds: Human Counting and Distribution; 7.1 Blob-based Human Counting and Distribution; 7.1.1 Overview; 7.1.2 Preprocessing; 7.1.3 Input Selection; 7.1.4 Blob Learning; 7.1.5 Experiments; 7.1.6 Conclusion; 7.2 Feature-based Human Counting and Distribution; 7.2.1 Overview; 7.2.2 Initial Calibration .; 7.2.3 Density Estimation; 7.2.4 Detection of an Abnormal Density Distribution; 7.2.5 Experiment Results; 7.2.6 Conclusion; 8 Dynamic Analysis of Crowd; 8.1 Behavior Analysis of Individuals in Crowds; 8.2 Energy-based Behavior Analysis of Groups in Crowds; 8.2.1 First Video Energy; 8.2.2 Second Video Energy; 8.2.3 Third Video Energy; 8.2.4 Experiment using a Metro Surveillance System; 8.2.5 Experiment Using an ATM Surveillance System; 8.3 RANSAC-based Behavior Analysis of Groups in Crowds; 8.3.1 Random Sample Consensus (RANSAC); 8.3.2 Estimation of Crowd Flow Direction; 8.3.3 Definition of a Group in a Crowd (Crowd Group); 8.3.4 Experiment and Discussion; References; Index.

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