For the widely demanding of adaptive multiple moving objects tracking in intelligent transportation field, a new type of traffic video based multi-object tracking method is presented. Background is modeled by difference of Gaussians (DOG) probability kernel and background subtraction is used to detect multiple moving objects. After obtaining the foreground, shadow is eliminated by an edge detec...

Tracking is an enabling technology for many location based services. Given that the location of a moving object changes continuously but the database cannot be updated continuously, the research issue is how to accurately maintain the current location of a large number of moving objects while minimizing the number of updates. The traditional approach used in existing commercial transportation s...

Email: [email protected] Abstract: Intelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interes...

In this paper, an algorithm is proposed for vision-based object identification and tracking by autonomous vehicles. In order to estimate the speed of the tracking object, this algorithm fuses information captured by on-board sensors such as camera and inertial sensors. To formulate the tracking algorithm it is necessary to use a proper model which describes the dynamics of the tracking object. ...

Motion object tracking in real-time environment and video is a popular topic in multimedia processing. Various related researches proposed to handle particular cases in recent years. We proposed several modified methods about background modeling, foreground detection, moving object modeling and matching to achieve the goal of tracking multiple objects in indoor and outdoor scenarios. In our exp...

In this paper we propose an energy-efficient object tracking algorithm in wireless sensor networks (WSNs). Such sensor networks have to be designed to achieve energy-efficient object tracking for any given arbitrary topology. We consider in particular the bi-directional moving objects with given frequencies for each pair of sensor nodes and link transmission cost. This problem is formulated as ...

The recent advances in computer and DSP technology have brought new expectation as well as new challenges in real time visual tracking of moving targets from video sequences. Due to the processing time constraint and continuous change in target size, segmentation and feature extraction for matching becomes very unreliable. In this paper we have presented an automated correlation based tracking ...

Tracking the real world coordinate of a fast moving object against a complex background is very challenging. When designing a multi-view system for this purpose, one key consideration is the arrangement of the cameras such that the object can be constantly and accurately tracked. This paper discusses a novel cameras arrangement, which can provide redundancy for fault tolerance, yet do not requi...

motion analysis and quality assessment of human sperm cell is of great importance for clinical applications of male infertility. sperm tracking is quite complex due to cell collision, occlusion and missed detection. the goal of this study is simultaneous tracking of multiple human sperm cells. in the first step in this research the frame difference algorithm is used for background subtraction. ...

In this paper a series of algorithm has been formed to track the feature of motion detection under surveillance system. In this paper a pixel variant plays a vital role in detection of moving frame of a particular clip. If there is a little bit motion in a file then it is detected very easily by tracking pixel variance. This algorithm detects the zero variation only when there is no motion in a...