Abstract:
Nowadays there are security systems that are extensively used for security, surveillance, observing and monitoring person in different places. Completely automated systems are competent of analyzing activities and information in an image or a video by detecting face, recognizing and track the person. Person tracking track the same person across multiple cameras or network of cameras. These systems are required for security purposes in organizations. Specific application includes access control to secure environments, identification of individuals at a place and intruder detection. To able to provide a secure environment, a high-security system will be required. Our project “Real-time face detection and person tracking for surveillance” will provide security system which contains face detection and person tracking which allows an organization to keep a track on all its employees.
For Real-time Person tracking, the first stage is to detect the person’s face using a single camera or multiple cameras. For face detection, we must preprocess the images. Image processing done by converting RGB images into grayscale, and for enhancing image we use contrast stretching. Pre-process images to remove noise and blurriness in images and system detect the person face in an image. After face detection, we trained our model to extract facial features and stored in the database.Person tracking done by face recognition, we apply Haar cascade classifier for face Recognition. We used location and time stamps for the person tracking which will show us the time when the person has passed from the camera and also tells us the current location of a person and camera number. Our Tracking system is very usefull for security purposes in organization where movement of persons shold be tracked to keep an eye on movement of every person in the organization for security purpose. Our system will be best for highly secure orgainzation to keep a track of all its employees that where a person is going on which time and which place.
