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In order to enhance the tracking performance of maneuvering target by forgetting factor RLS algorithm, an improved forgetting factor adaptive function is proposed based on cosine function. This adaptive function can adjust the forgetting factor dynamically according to the tracking error. In addition, a comprehensive predictor is designed, which dynamically selects the linear predictor or the square...
There exist the low data rate, low detection probability, low measurement precision problem and multi-path effects of ionosphere in the Over the Horizon Radar (OTHR) multi-target tracking. The exponential mixture density probability hypothesis density filter (EMDs-PHDF) based on random finite set (RFS) is proposed. The approach sets a separate PHD filter for each propagation path of ionosphere to...
The geographic information (air route, sea route, air corridor, prohibited area, airport and etc.) and the spatial relative relation of the aircraft formation represent the equality and inequality constraints of the targets. The establishment of association and fusion between constraint information and passive multi-sensor is an important approach to improve the performance of target detection and...
Model-free online object tracking is an important research topic of a wide range of applications in computer vision. A main challenge for object tracking is the model drift problem. In this paper, we proposed a multi-expert selection tracking algorithm that can not only prevent adding bad examples to object model but also can correct the effect of bad updates even if the bad examples are involved...
Given the pose adjustment and path planning of the welding mobile robot during seam tracking process, mobile welding robot and welding torch are studied. Kinematics modeling of the mobile welding robot is established, which is constrained with the slider moving area, welding torch length and so on. And then, physical System is designed and multi-objective optimization model is presented with the aims...
Unmanned Aerial Vehicle (UAV) which installed radio frequency radar is utilized in many applications for accurately target tracking. The Gaussian mixture probability hypothesis density (GMPHD) filter is a powerful algorithm for target tracking with significant performance. But in the UAV application scenarios with dense targets and intensive clutters, high computational complexity becomes a serious...
Bandwidth reservation is a key resource management strategy for target tracking in Wireless Sensor Networks (WSNs). To keep the losing probability of targets coming in a specific region below an optimal value, we propose a QoS-guaranteed bandwidth reservation scheme in this paper. To detect targets with high probability, we reserve enough available bandwidth for potential incoming targets and take...
Most existing sensor planning algorithms find it difficult to tackle the discrepancy between a PTZ camera??s limited instant field of view (FOV) and panoramic achievable FOV. In this paper, we introduce the probability of camera overload to resolve this discrepancy and present a sensor planning algorithm for PTZ cameras under the same framework as static cameras. The resulting camera placement achieves...
Tracking people or moving objects across a PTZ camera and maintaining a track within a camera is a challenging task in applications of video surveillance. In this paper we propose a novel object positioning tracking framework, PTZ camera based position tracking system, which is also known as PCTS, can help estimate the position of an object by using camera parameters, pan and tilt. From object motion...
An approach is proposed to classifying simultaneous multiple low altitude targets in battlefield. Based on Independent Component Analysis (ICA), the mixed signal is separated into several single and pure signals, and the noise is removed from the acoustic signal. mel-frequency cepstrum coefficients (MFCC) which responses the characteristic of the sound more aggressively is extracted as characteristic...
Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV). However, visibility, a fundamental requirement of object tracking, is insufficient for persistent and automated tracking. In such applications, a continuous and consistently labeled trajectory of the same object should be...
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