Completed
Multi-frame CRF Optimization
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Human Detection, Tracking and Segmentation in Surveillance Video
Automatically move to the next video in the Classroom when playback concludes
- 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
