In this paper we propose a novel approach for detecting and tracking objects in videos with variable background i.e. videos captured by moving cameras without any additional sensor. The performance of tracking in videos with variable background depends on the successful detection of an object in variable background. The most attractive feature of detecting an object in variable background is th...

The three-stage human brain memory model is incorporated into a multiagent coevolutionary process for finding the best match of the appearance of an object, and a memory-based multiagent coevolution algorithm for robust tracking the moving objects is presented in this paper. Each agent can remember, retrieve, or forget the appearance of the object through its own memory system by its own experi...

The accuracy and poor real-time performance of moving objects in a dynamic range complex environment become the bottleneck problem of the target location and tracking. In order to improve the positioning accuracy and the quality of tracking service, we propose an embedded tracking algorithm based on multi-feature fusion and visual object compression. On the hand, according to the feature of the...

Video tracking is the process of locating a moving object in time that is visualized by camera and are widely used in surveillance, animation and robotics Tracking describes the process of recording movement and translating that movement onto a digital model. The set of constraints that produce the most accurate tracking is the one that describes better the action performed. The key difficulty ...

Efficient moving object tracking in cases of partial occlusion is a challenging task for the researchers in the fields of computer vision and video processing. In modern coding standards, like MPEG-4 and MPEG-7, the term of video objects is used to define moving objects in a video sequence. Automatic extraction of such objects is by no means trivial, and occlusion is one of most important probl...

Analogic CNN algorithms are combined with the special properties of a panoramic imaging device called PAL optics. The resulting system is capable to identify and track moving objects in 360 degrees field of view real-time. Image processing engine was the ALADDIN system with a 64x64 array size CNNUM chip. As the image sensor, we tested the optical input of the CNNUM chip in one experiment, and i...

The Xilinx Spartan family provides the ability to perform partial reconfiguration. This paper concentrates on how to track a moving object using three different componentsfixed hardware, reconfigurable hardware and software. This flow can be considered to be a part of a general methodology to implement mean shift algorithm for tracking moving object.