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Local Frame Differencing
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Classroom Contents
Human Detection, Tracking and Segmentation in Surveillance Video
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- 1 Motivation
- 2 Video Surveillance Tasks
- 3 Outline
- 4 Problems
- 5 Initial Detection
- 6 Training and Classification
- 7 Iteratively Learning
- 8 Superpixel Segmentation
- 9 Bag-of-Words
- 10 Qualitative Results
- 11 From Detection to Tracking
- 12 Part-based Model in Tracking
- 13 Features and Classifiers
- 14 Data Association
- 15 Proposed Method
- 16 DPM with Occlusion Handling
- 17 Occlusion handling Results
- 18 Occlusion Handling in Tracking
- 19 Occlusion Reasoning Results
- 20 Quantitative Results -- Town Center
- 21 Boston Airport
- 22 Parking Lot 1
- 23 Parking Lot dataset
- 24 From Detection to Segmentation
- 25 Human Detection
- 26 Background Gaussian Mixture Model (GMM)
- 27 Part-based Detection Potential
- 28 Graph Optimization
- 29 Initial Results
- 30 Multi-frame Segmentation
- 31 Obtaining Tracklets
- 32 Multi-frame CRF Optimization
- 33 Datasets and Groundtruth
- 34 Comparison with Background Subtraction
- 35 Segmentation Results (by frame)
- 36 For Real-World Application
- 37 Objective: Tracking
- 38 Multi-threaded Implementation
- 39 Tracking Overview
- 40 Adaptive Scaling
- 41 Local Frame Differencing
- 42 Summary
- 43 Dissertation Conclusion
- 44 Future Work
- 45 Publication
