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In recent years, both the RFID and computer vision technologies have been widely employed in indoor scenarios aimed at different goals while faced with respective limitations. For example, the RFID-based EAS system is useful in quickly identifying tagged objects but the accompanying false alarm problem is troublesome and hard to tackle with except that the accurate trajectory of the target tag can...
The study of rodent animal's social behavior has a key role in the field of biology and medicine, and it's a challenge to track multiple animals individually in the group experiment. The trajectories swap is a common problem in multiple mice tracking, and it is difficult to be solved by single vision method. This paper discusses a hybrid tracking method using RFID (Radio Frequency Identification)...
Smartphone's increasing computing power and built-in sensors such as digital camera and GPS have created a new and open platform for developing compelling mobile multimedia tools and systems. In this paper, a novel, accurate and computationally efficient video-based remote target positioning and tracking system on Android smart phones is proposed and presented, with the assumption that the physical...
We discussed emerging multicamera tracking algorithms that find their roots in signal processing, wireless sensor networks, and computer vision. Based on how cameras share estimates and fuse information, we classified these trackers as distributed, decentralized, and centralized algorithms. We also highlighted the challenges to be addressed in the design of decentralized and distributed tracking algorithms...
This paper presents methods for vision-based detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. The goal of this research is to develop suitable methods for automatic visual traffic surveillance to perform detection, tracking and traffic parameter estimation of multiple vehicles in real time as well as tackle environment illumination...
This paper introduces a synchronization methodology for distributed vision based sensor networks with clock skew or variable frame rates. The methodology requires a ballistic or otherwise predictive object to be tracked by the sensor network and used to calibrate the clock skew and/or relative variable frame rates between the cameras. The relative time stamp of each image captured can be extracted...
A novel three-stage framework for object tracking under stationary background conditions is proposed in this paper. The first stage uses an attention based method to extract motion information. The second stage then applies a region growing and matching technique to motion vectors to obtain motion segmentation. Finally the moving objects are tracked based on the displacements of region centroids....
This paper describes a vision system to obtain the 3D trajectory of a moving target by stereovision. For our study, we chose to reconstruct the trajectory of a clay plate that is used in ball-trap. The plate's path can reach 60 meters in length. The trajectory is reconstructed from videos of the moving target and plate positions between the left and right images at different times. To find the 3D...
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