Image transformation for object tracking in high-resolution video

We propose a new method for warping highresolution images to efficiently track objects on the ground plane in real time. Recently, the emergence of high resolution video cameras (>5 megapixels) has enabled surveillance over a much larger area using only a single camera. However, real-time processing of high resolution video for automatic detection and tracking of multiple targets is a challenge. When the surveillance camera covers greater depth of ground regions, due to perspective effect, the image size of a target varies significantly depending on the distance between the camera and the target. In this study, we propose a framework to transform high resolution images into warped images using a plane homography to make the target size uniform regardless of the position. The method not only reduces the number of pixels to be processed for speed-up, but also improves the tracking performance. We provide experimental results on object tracking in high-resolution maritime videos to de...

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Tae Eun Choe, Krishnan Ramnath, Mun Wai Lee, Niels Haering
• Keywords: Computer Vision, Ground Plane, ICPR 2008, Resolution Video Cameras, Single Camera