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The integral-free Kalman filters which are widely used in target tracking are studied. The algorithms of Unscented Kalman filter (UKF), Cubature Kalman filter (CKF) and Square-root cubature Kalman filter (SCKF) are compared in details. A modified algorithm (MSCKF) is proposed to optimize the performance. When considering different original ranges and radial speeds, simulation of linear motion targets...
According to the features of traffic supervisory video, Compressive Tracking (CT) algorithm is adopted to detect and track the moving car. When the camera angle, moving vehicle scale and background changed, the CT algorithm still has a strong robustness. However, the algorithm is invalid when car is sheltered so that the tracked car cannot be located. In order to overcome this problem, a new method...
With the development of wireless frequency monitoring equipment, passive localization of multi-targets has become one of the most popular research hotspots. In this paper, by using the characteristic of multi-sensors passive location based on time difference of arrival (TDOA) and the continuity of TDOA at different times, a TDOA based Data Association and multi-targets passive localization algorithm...
While classical face recognition (FR) technologies are mainly based on static images, video-based FR is concerned with the matching of two image sets containing facial images captured from each video. Video based FR is supposed to be advantageous as it takes more abundant information in to account to improve accuracy and robustness. Though many methods have been proposed, there still exists a variety...
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