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Human Detection and Tracking


I. Juvanna, Amanda Maureen Mathias, Aman Rai and Aman Rai
Abstract

Our Project works on the problem of human detection and tracking an individual. It works in three stages human detection and tracking an individual, face detection, and face recognition. It detects a human and its face from a video and stores the patterns from Local Binary Pattern Histogram (LBPH) from the faces detected. LBPH features are used to uniquely identify the features and patterns based on his face. We track a human in stage one and once he is detected we assign him labels so that he can be identified easily. Once a pattern of a particular person is detected using LBPH we store the pattern for future reference. After identifying a person we get a result as the person identified is subject1, subject2 and so on. We track an individual from a video by recognizing the person from the multiple cameras that are in our surroundings. In this project we use the application of machine learning and image processing using Open CV.

Volume 11 | 06-Special Issue

Pages: 156-169