The Development Of Image-based Tracking System And Study Of Object Tracking Algorithms

Moving objects tracking is an active problem in computer vision and has a wide variety of applications, such as videoconference, robotics navigation, virtual reality etc. The controllable camera is used to track the speaker in most videoconference systems. Most of the tracking systems are based on hardware. However , hardware-based tracking system is sophisticated and expensive. In this paper, a software method is proposed for controlling the camera and the image-based tracking system is developed as a part of videoconference systems.In addition, the accuracy and stability of objects tracking depend on moving objects tracking algorithms to a great extent. Most of the current approaches proposed are mainly feature-based or motion-based. These approaches are reliable to track objects, but they have a lot of data to be processed and they are too complicated to apply in real time. In this paper, two tracking algorithms are researched in details by analyzing the current algorithms of objects detecting and tracking.(1) Cepstrum-based tracking algorithm: In this method, the impulse' s position in cepstrum fields is computed and the object' s position is accordingly obtained, thus, the object can be tracked in each frame. In addition, the usage of Hartley transform gives faster computational speed than Fourier transform.(2) Color histogram-based tracking algorithm: In this method, the projection of the color histogram is obtained by the main color of the objects. The object' s position is computed according to the horizontal and vertical projections of projected image.