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Presented by Yi-Ta Wu April. 23, 2004 1 Agenda The Surveillance - PowerPoint PPT Presentation

New Jersey Institute of Technology Presented by Yi-Ta Wu April. 23, 2004 1 Agenda The Surveillance System Auto-Alarm Based Surveillance System Two Problems of Surveillance System Wireless Sensor Based Surveillance System


  1. New Jersey Institute of Technology Presented by Yi-Ta Wu April. 23, 2004 1

  2. Agenda � The Surveillance System � Auto-Alarm Based Surveillance System � Two Problems of Surveillance System � Wireless Sensor Based Surveillance System � Conclusions 2

  3. The Surveillance System • The surveillance system is a series of monitoring devices designed to check on environmental conditions. • It is widely used nowadays to help a guard with consecutive sensing information. 3

  4. Problem of Current Surveillance System 4 Exhaustion by long-term observation

  5. 5 Auto-Alarm Based Surveillance System Auto-Alarm

  6. What is the Proper Resolution ? Goal : Perform the face recognition Problem : It is difficult to determine the proper resolution. 6

  7. What is the Target Object? First image frame Second image frame The difference of above two images 7

  8. Wireless Sensor Based Surveillance System Sensor 1 Room 1 Room 4 Sensor 2 Room 2 Room 5 ∑ m x Sensor 3 = i i X , ∑ m Room 6 i Sensor 4 ∑ Room 3 y m = i i Y Sensor 5 ∑ m i Sensor 6 Camera 8

  9. Object Classification, Human/Non-Human P. Viola, M. Jones, and D. Snow, “Detecting Pedestrians Using Patterns of Motion and Appearance,” Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, pp. 734-741, Nice, France, Oct. 2003. ∆ = − ( ) abs I I + t t 1 = − 1 ↑ U abs ( I I ) + t t = − 1 ← L abs ( I I ) + t t = − 1 → R abs ( I I ) + t t = − 1 ↓ D abs ( I I ) + t t 9

  10. Program Demo The Method for Efficiently Extracting Candidates 10 (b) (d) (c) (a)

  11. Sets of Candidate for Face Recognition 11

  12. Sets of Candidate for Face Recognition The Flowchart of the experimental procedure Discrete Wavelet Original Image Histogram 2D-LDA SVM Transformation (112 * 92) Equalization Reduction Classifier (28 * 23) Yi-Ta Wu 12

  13. 13 Human Experimental Results (b) (d) Yi-Ta Wu (a) (c)

  14. Conclusions � The traditional surveillance systems are performed either periodically or manually rotating the cameras, which may have the difficulties of determining the proper object resolution , and the automatically detecting the moving object when the camera is not fixed. � Wireless Sensor based surveillance system: � The Wireless Sensors are utilized as the first layer guards to detect the coordinates of the unauthorized invasions � After identify the location of the invasions, the system will arrange cameras to catch the image features for object classification and recognition based on the hierarchical approach. 14

  15. 15 Question

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