Single person pose recognition and tracking

Single person pose recognition and tracking

Barbadillo Amor, J.

Hendriks, E.A. (mentor)
Huo, F. (mentor)

Electrical Engineering, Mathematics and Computer Science

Mediamatics

Pattern Recognition and Bioinformatics Group

2010-06-25

The goal of this research is to improve a system capable to detect, track a single person and recognize poses real time for controlling a spatial game. After performing background subtraction, the human blob is segmented in order to track the torso and hands. Angles and distances between hands and torso center are used to compute the features. Finally, a 10-Nearest-Neighbor classifier recognizes 9 predefined Poses which are used by the player to control the game. This work contributes with two improvements. The first one is a more robust improved hand detection combining the current skin color detection with human blob information. The second improvement is a classifier that recognizes Non-Poses in addition to the 9 predefined Poses that are used in the game.

pose recognition
computer vision
human action recognition

http://resolver.tudelft.nl/uuid:944a11fd-eea8-445e-9a46-98855f7766d3

Student theses

master thesis

(c) 2010 Barbadillo Amor, J.