Performance Evaluation Software

1. Front Matter

   Pages i-xv

   PDF

2. Introduction

   • Bahadir Karasulu, Serdar Korukoglu

   Pages 1-5

3. Moving Object Detection and Tracking in Videos

   • Bahadir Karasulu, Serdar Korukoglu

   Pages 7-30

4. A Software Approach to Performance Evaluation

   • Bahadir Karasulu, Serdar Korukoglu

   Pages 31-37

5. Performance Measures and Evaluation

   • Bahadir Karasulu, Serdar Korukoglu

   Pages 39-49

6. A Case Study: People Detection and Tracking in Videos

   • Bahadir Karasulu, Serdar Korukoglu

   Pages 51-63

7. Conclusion

   • Bahadir Karasulu, Serdar Korukoglu

   Pages 65-66

8. Back Matter

   Pages 67-76

   PDF

Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), etc. An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities, etc. Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.

• Image Processing
• People Detection
• People Tracking
• Performance Evaluation
• Video Processing

• , Department of Computer Engineering, Canakkale Onsekiz Mart University, Canakkale, Turkey

  Bahadir Karasulu

• , Department of Computer Engineering, Ege University, Bornova, Turkey

  Serdar Korukoglu

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