In order to solve speed and accuracy problems of maneuvering target tracking in wireless sensor networks, a Rough Set and neural network Adaptive Interacting Multiple Model (RSAIMM) tracking algorithm was proposed. Based on the establishment of target movement model and rough set neural integration adaptive model, a decision making method which combined rough set theory and neural network was u...

With the development of image processing technology and popularization of computer technology, intelligent machine vision technology has a wide range of application in the medical, military, industrial and other fields. Target tracking feature selection algorithm is one of research focuses in the machine intelligent vision technology. Therefore, to design the target tracking feature selection a...

nowadays the position of the renewable energy is so important because of the environment pollution and the limitation of fossil fuels in the world. energy can be generated more and more by the renewable sources, but the fossil fuels are non-renewable. one of the most important renewable sources is the wind energy. the wind energy is an appropriate alternative source of fossil fuel. the replacem...

An algorithm is proposed for tracking objects in real time. The algorithm is based on neural network implemented on GPU. Investigation and parameter optimization of the algorithm are realized. Tracking process has accelerated by 10 times and the training process has accelerated by 2 times versus to the sequential algorithm version. The maximum resolution of the frame for real-time tracking and ...

ELECT A local binary pattern (LBP)-based tracking algorithm and a novel heterogeneous vision chip architecture that implements the algorithm in high speed are proposed. The algorithm is more robust than previously reported high-speed tracking algorithms. The proposed vision chip architecture adopts multiple levels of parallel processors to execute the algorithm in pixel-parallel and patch-paral...

In this paper, a distributed average tracking problem is studied for Lipschitz-type nonlinear dynamical systems. The objective is to design distributed average tracking algorithms for locally interactive agents to track the average of multiple reference signals. Here, in both the agents’ and the reference signals’ dynamics, there is a nonlinear term satisfying the Lipschitz-type condition. Thre...

Object tracking is critical and difficult task when it comes to unmanned air vehicles and traffic surveillance. The major challenge in object tracking is occlusion handling either partial occlusion or full occlusion. In this paper modified mean-shift tracking algorithm is proposed to tackle the problem of full occlusion. Mean-shift object tracking algorithm uses the color information to represe...

The use of wireless sensor networks (WSN) in tracking applications is growing at a fast pace. In these applications, the sensor nodes discover, monitor and track an event or target object. A significant number of proposals relating the use of WSNs for target tracking have been published to date. However, they either focus on the tracking algorithm or on the communication protocol, and none of t...

In this paper, we present an image object tracking system for GPGPU based CAMshift algorithm. For image object tracking, we use the parallel CAMshift tracking algorithm based on the HSV color image distribution of detected moving objects. In this, RGB-to-HSV color conversion, image masking such as open and close operation for image morphology, and computing of centroid are executed in parallel....

Target tracking has many applications in various fields. Millions of cameras are being used globally and people are constantly being watched everywhere. These cameras record over 48 hours of videos weekly which are impossible to be monitored manually. Many applications have been presented to improve the performance of pedestrian tracking. However, it still has remained a challenging topic. In t...