منابع مشابه
Video-based Flame Detection using LBP-based Descriptor: Influences of Classifiers Variety on Detection Efficiency
Techniques to detect the flame at an early stage are necessary in order to prevent the fire and minimize the damage. The flame detection technique based on the physical sensor has limited disadvantages in detecting the fire early. This paper presents the results of using local binary patterns for solving flames detecting problem and proposes modifications to improve the quality of detector work...
متن کاملAction Change Detection in Video Based on HOG
Background and Objectives: Action recognition, as the processes of labeling an unknown action of a query video, is a challenging problem, due to the event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. A number of solutions proposed to solve action recognition problem. Many of these frameworks suppose that each video sequence includes only one ...
متن کاملA survey based on Video Shot Boundary Detection techniques
Processing of video and image provides an understanding of the scene that it describe. It is an essential component of a number of technologies including video surveillance, robotics and multimedia. It represents an area of research with huge growth in the recent past. Video shot boundary detection is one of the research works in the field of video processing. Many researchers are trying to put...
متن کاملA Method of Video Flame Detection Based on Multi-Feature Fusion
A method of video flame detection based on multi-feature fusion is presented in this paper. Physical characteristics of flame, including color clues, flame movement and flame flicker are incorporated into the scheme to detect fires in color video frames. Firstly, mean filtering was used to smooth the video frames and a flame color filtering algorithm was adopted to extract flame candidate regio...
متن کاملEarly Flame Detection in Video Sequences based on D-S Evidence Theory
A multi-feature fusion early flame detection algorithm based on D-S evidence theory is proposed. In this algorithm, first the method based on YcbCr and RGB color spaces is used for extracting the flame region of interest. Then flame classifiers based on flame flicker frequency and flame image correlation between frames are selected as two features of D-S feature fusion, the basic probability as...
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ژورنال
عنوان ژورنال: Computer Science and Application
سال: 2013
ISSN: 2161-8801,2161-881X
DOI: 10.12677/csa.2013.38059