Tuesday, 26 April 2016

MATLAB code of Real-time Object Tracking through Webcam (Robust Mean Shift Tracking with Corrected Background-Weighted Histogram)

Real-Time Object Tracking Through Webcam:

Object tracking is an important task in computer vision. Many algorithms have been proposed to solve the various problems arisen from noises, clutters and occlusions in the appearance model of the target to be tracked. Among various object tracking methods, the mean shift tracking algorithm is a popular one due to its simplicity and efficiency. Mean shift is a non parametric density estimator which iteratively computes the nearest mode of a sample distribution. After it was introduced to the field of computer vision, mean shift has been adopted to solve various problems, such as image filtering, segmentation and object tracking. In the mean shift tracking algorithm, the color histogram is used to represent the target because of its robustness to scaling, rotation and partial occlusion. 

Monday, 25 April 2016

MATLAB code of Object Tracking from Video (Robust Mean Shift Tracking with Corrected Background-Weighted Histogram)

Object tracking is an important task in computer vision. Many algorithms have been proposed to solve the various problems arisen from noises, clutters and occlusions in the appearance model of the target to be tracked. Among various object tracking methods, the mean shift tracking algorithm is a popular one due to its simplicity and efficiency. Mean shift is a non parametric density estimator which iteratively computes the nearest mode of a sample distribution. After it was introduced to the field of computer vision, mean shift has been adopted to solve various problems, such as image filtering, segmentation and object tracking.