Improved Video Moving Target Tracking Based on Camshift
نویسندگان
چکیده
منابع مشابه
Improved Video Moving Target Tracking Based on Camshift
Focusing on the failure under the condition of target blocking, the similarity between target color and background color for the Camshift algorithm, an improved algorithm based on Camshift algorithm is proposed. Gaussian mixture model is used to determine the tracking area fast and accurately because it is not sensitive to the external conditions such as light and shadow. Kalman predictor is us...
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The surveillance system has been developed for decades. It has reduced the crime andprotected the lives and properties of people successfully. Some surveillance systems are composed ofPTZ cameras. Therefore the moving people or target objects could be tracked by the surveillancesystem. The surveillance system becomes more and more interment. However, there are twoproblems occurr...
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CAMShift is a semi-automatic tracking algorithm, which needs tracking target to be calibrated manually, and can only track one single target at a time. Aiming at these problems, this paper proposes a vehicle tracking approach based on double difference method and CAMShift algorithm. This approach can automatically calibrate moving vehicles in traffic video and achieve multi-target tracking by u...
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متن کاملImproved CAMshift Algorithm Based on Kalman Filter
In this paper, we describe a Continuously Adaptive Mean Shift (CAMshift) algorithm with a Kalman filter. A CAMshift algorithm does not consider an object’s direction vectors and velocity. In addition, sometimes, CAMshift loses the tracked object when the color of the background is similar to that of the object. However, using a Kalman filter with the CAMshift algorithm can overcome these disadv...
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ژورنال
عنوان ژورنال: American Journal of Computational Mathematics
سال: 2016
ISSN: 2161-1203,2161-1211
DOI: 10.4236/ajcm.2016.64035