A robust visual kernel tracking approach is presented for solving the problem of existing background pixels in object model. At first, after definition of fuzzy set on image is given, a fuzzy factor is embedded into object model to form the fuzzy kernel representation. Secondly, a fuzzy membership functions are generated by centersurround approach and log likelihood ratio of feature distributio...

A motion trajectory tracking method using a novel visual attention model and kernel density estimation is proposed in this paper. As a crucial step, moving objects detection is based on visual attention. The visual attention model is built by combination of the static and motion feature attention map and a Karhunen-Loeve transform (KLT) distribution map. Since the visual attention analysis is c...

Monitoring of human activity requires people to be tracked as they move through the scene. Every tracking method requires object detection. We proposed a new method for detection and tracking of multiple moving objects under static background, based on motion detection, background subtraction using canny edge detection with edge difference between consecutives frames. Keywords—motion detection;...

Kernel based−methods using color histogram approach are recently used for visual tracking due to their efficiency and robustness. However, a color histogram suffers from the inability to encode spatial image information, thus images with very different appearances can have similar color histograms. This problem is especially critical in various applications such as retrieval for image and video...

Visual tracking remains a challenging problem because of intrinsic appearance variability of object and extrinsic disturbance. Many algorithms have been recently proposed to capture the varying appearance of targets. Most existing tracking methods, however, fail to estimate the scale and orientation of the target. To deal with this problem, we model the second-order statistics of image regions ...

Objective: Object tracking in 2D ultrasound sequences of liver to infer real-time respiratory organ movement and offer motion compensation in image-guided abdominal interventions. Methods: A kernel-based tracking algorithm that is adaptive to scale and orientation changes of the tracking target is applied to 54 vessel targets in 21 ultrasound sequences acquired from volunteers under free breath...

A framework for real-time tracking of complex non-rigid objects is presented. The object shape is approximated by an ellipse and its appearance by histogram based features derived from local image properties. An efficient search procedure is used to find the image region with a histogram most similar to the histogram of the tracked object. The procedure is a natural extension of the mean-shift ...

Cerebral palsy is a chronic conditions affecting body movements, posture and muscle coordination. It is caused by damage to one or more specific areas of the brain, usually occurring during fetal development or infancy. The General Movement Assessment procedure consists of observation and clinical classification of movement patterns, and the absence of normal movement qualities between 2-4 mont...