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Security Tracker. By Jered Olckers. SUPERVISOR: MR. J. CONNAN. Introduction. Project Overview The main purpose of system is to track an object across multiple frames using fixed input source . High Level & Low Level Design. Interface User Interface Specification Components
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Security Tracker By Jered Olckers SUPERVISOR: MR. J. CONNAN
Introduction • Project Overview • The main purpose of system is to track an object across multiple frames using fixed input source.
High Level & Low Level Design Interface • User Interface Specification Components • Portable Pixel map (PPM) • Grayscale • Background Subtraction • Skin Detection
Portable Pixelmap (PPM) • PPM is a type of image file format. • Each pixel can be easily manipulated since it is in an understandable format. Start ASCII PPM file format Comment Demotions Red Green Blue Max Colours ASCII Decimal
Grayscale • Every colour image a pixel consists of 3 values; red, green and blue. • A Grayscaleimage value of each pixel is the same. • To convert pixel colour to its appropriate level of grey, the following calculation is needed. Greyscale Red X 30% Green X 59% Blue X 11%
Greyscale Picture Convert
Background Subtraction minus
Skin colour detection • This is used to identify whether a set of pixels is a potential skin area. • Convert from RGB to HSV colour space. • The threshold values is used to distinguish between skin and non skin pixels.
Skin colour detection (2) • The skin colourdetection will be used to identify whether a person has been detected in a video. Skin pixels detected. .
Project Plan • Term 3 • Implement Skin detection. • Extend functionality on interface • Display tracked object in video. • Testing for correctness. Term 4 • Testing and evaluating software • Create User Manual.
References • 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. • Using PPM to make high-quality color pictures • Frame-skipping tracking for single object with global motion detection!: Ming Anlong, Ma Huadong