Extracto
INDEX
Acknowledgement
Abstract
List of Figures
List of Tables
1. INTRODUCTION
1.1 OBJECTIVE
1.2 APPLICATIONS
1.3 LITERATURE SURVEY
1.4 ORGANIZATION OF THE REPORT
2 BLOCK DIAGRAM AND CHALLANGES
2.1 GENERAL STEPS FOR OBJECT DETECTION
2.2 CHALLENGES
3 STUDY OF DIFFERENT BACKGROUND SUBTRACTION
3.1 SIMPLE BACKGROUND SUBTRACTION METHOD
3.2 MEAN FILTERING METHOD
3.3 MEDIAN FILTERING METHOD
3.4 W4 SYSTEM METHOD
3.5 FRAME DIFFERENCING METHOD
3.6 RUNNING GAUSSIAN AVERAGE MODEL
3.7 GAUSSIAN MIXTURE MODEL
3.8 EIGENBACKGROUND
4 COMPARISION OF BACKGROUND SUBTRACTION
5 OPTICAL FLOW
5.1 THE SMOOTHNESS CONSTRAINT
5.2 DETERMINING OPTICAL FLOW USING HORN - SCHUNCK
5.3 ESTIMATION OF CLASSICAL PARTIAL DERIVATIVES
5.4 EXPERIMENT RESULTS
6 COMBINE GMM & OPTICAL FLOW
7 SHADOW DETECTION
7.1 HSV/HSI MODE
7.2 SHADOW DETECTION
8 CONCLUSION AND FUTURE WORK
REFERENCES
- Citar trabajo
- Priyank Shah (Autor), 2014, Moving Object Detection Using Background Subtraction Algorithms, Múnich, GRIN Verlag, https://www.grin.com/document/275108
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