CamShift Tracking Method Based on Target Decomposition
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...
متن کاملMoving Target Tracking Based on CamShift Approach and Kalman Filter
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...
متن کاملCAMSHIFT-based Algorithm for Multiple Object Tracking
This paper presents a technique for object tracking by using CAMSHIFT algorithm that tracks an object based on color. We aim to improve the CAMSHIFT algorithm by adding a multiple targets tracking function [1].When one object is selected as a template, it will search objects that have the same hue value and shape by shape recognition. Hence, the inputs of the algorithm are hue values and shape ...
متن کاملTarget Tracking Based on Virtual Grid in Wireless Sensor Networks
One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of this paper was to introduce an efficient and novel mobility management protocol namely Target Tr...
متن کاملObject Tracking Based on Camshift with Multi-feature Fusion
It is very hard for traditional Camshift to survive of drastic interferences and occlusions of similar objects. This paper puts forward an innovative tracking method using Camshift with multi-feature fusion. Firstly, SIFT features and edge features of the Camshift in RGB space are counted to reduce the probability of disruption by occlusion and clutter. Then, the texture features are collected ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2015
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2015/524120