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Published byRandell Walker Modified over 9 years ago
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SUPERVISOR: MR. J. CONNAN
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The main purpose of system is to track an object across multiple frames using fixed input source.
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Input real-time video source Extract frames Back-Ground subtraction Detect movement Draw rectangle around object
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Capture code - Changed from VB to VC++ - Merge VC++ with C++ RGB-to-HSV conversion - Skin color detection Level of accuracy close to 96.5%
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Accordingly scale trace Area Get Accumulative Pixel Average(APA) value inside the square Store and Compare values Display object matched Results Start
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Get threshold values Draw square A [i--] 50
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Old Design Limitations - Physically need to open video for extraction - Cannot detect video input source New Design -Operates in real time -Result of Background subtraction
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ToolsDescription Microsoft Visual Studio 2008IDE Microsoft SDKLibraries Code BlocksIDE M-encoderConvert image format Gimp2Diagrams Tools
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LanguagesImplementation C++Back-End Calculation VC++Used to create interface and capture/display frames BatchUsed to connect connect programs (inter-link) Languages
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Term3Term4 BG-Subtraction detect movementImplement skin detection Extend functionality on interfaceTrack object across cameras Scale tracked square Testing for correctness.Testing and evaluating software Display Tracked objectCreate User Manual.
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Skin Detection in Luminance Images using Threshold Technique: Hani. K. Almohair, Abd Rahman Ramli, Elsadig A. M, Shaiful J. Hashim A Robust Vision-based Moving Target Detection and Tracking System. Frame-skipping tracking for single object with global motion detection!: Ming Anlong, Ma Huadong
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