Abstract-For security purposes, it is prerequisite to track multiple targets efficiently. Most of the current implementation uses Kalman filter and color information independently. The proposed method combines extended Kalman filter and color information for tracking multiple objects under high occlusion. For tracking, the first thing done is the object detection. The background model used to segment foreground from background is spatio-temporal Gaussian mixture model (STGMM). Tracking consists of two steps: independent object tracking and occluded object tracking. For independent object tracking we exploit extended Kalman filter, whereas for occluded object tracking, color information attribute is used. The system was tested in real world application and successful results were obtained.
Abstract-Robust visual tracking is imperative to track multiple occluded objects. Kalman filter and color information tracking algorithms are implemented independently in most of the current research. The proposed method combines extended Kalman filter with past and color information for tracking multiple objects under high occlusion. The proposed method is robust to background modeling technique. Object detection is done using spatio-temporal Gaussian mixture model (STGMM). Tracking consists of two steps: partially occluded object tracking and highly occluded object tracking. Tracking partially occluded objects, extended Kalman filter is exploited with past information of object, whereas for highly occluded object tracking, color information and size attributes are used. The system was tested in real world application and successful results were obtained.Index Terms-EKF with color, tracking occluded objects, STGMM, robust tracking using color information.
Abstract-Conformance testing is a way to determine if a developed system satisfies the requirements of a specification. As recently a CAN based standard for communication interface for DC fast charging is developed, it requires conformance testing to ensure the safety and proper operation. This paper exploits the use of TTCN-3 for this CAN based conformance testing and attention is focused on the implementation of TTCN-3. Two computers are used for communication via CAN. One computer is working as a tester and the other is working as a system under test.
A common conformance testing is needed before the modules equipped in the vehicle to ensure their design meet the standard requirements and capability to work together. In this paper SGSF-064-1 have been followed and its conformance testing items are described. SGSF-064-1 is the standard which provide communication interface for DC fast charging in Korea. We specially focused on the conformance testing when the vehicle is fully charged. We used TTC-3 language to perform simulation.
Image restoration is required when the image is blurred due to out of focus or motion during the image acquisition. This type of image restoration is known as ill-posed inverse problem because the estimate of an original image should be derived from only one blurred image. This paper introduces a reference image to facilitate the restoration process. The experimental result shows that computation time is significantly reduced, compared with other methods. The proposed method obtains the estimate of the kernel used in blurring processing. New cost function is defined to update both the image and the kernel alternately. In the last stage, Wiener filter produces the estimate of an original image using the kernel and the reference image.
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