Reference TypeConference Proceedings
Citation KeyMoraColqueCáma:2011:PrBaIm
Author1 Mora Colque, Rensso Victor Hugo
2 Cámara-Chávez, Guillermo
Affiliation1 Universidade Federal de Ouro Preto
2 Universidade Federal de Ouro Preto
TitleProgressive Background Image Generation of Surveillance Traffic Videos Based on a Temporal Histogram Ruled by a Reward/Penalty Function
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationMaceió
KeywordsBackground image, frame difference, temporal intensity histogram, reward and penalty function.
AbstractIn most surveillance traffic systems the background image is used for segmenting the moving objects. In this paper, we propose a method for progressive and constant renewal of the background image of a video sequence. Our method is divided in three parts: frame difference to get an actual information of the video sequence; reward and penalty function that modifies a temporal histogram; and the background generation uses the information found in the histogram. The principal characteristic of the method is the constant regeneration of the histogram using neighborhood information of intensity levels, penalizing the occurrence of foreign objects and rewarding the values of static objects. For that, the histogram values are modified regionally and its variation correspond to a normal distribution. The principal advantages of our proposed method lies in the progressive increment of the background pixel intensity occurrences, the fast reaction to changes between foreground and background segments and the simplicity of the method that can be used in real time applications. At the end of this paper, experimental results demonstrated the feasibility of the proposed technique in different weather conditions and traffic situations.
Tertiary TypeFull Paper
FormatDVD, On-line.
Size5444 KiB
Number of Files1
Target FileProgressive Background Image Generation of Surveillance Traffic Videos Based on a Temporal Histogram Ruled by a RewardPenalty Function.pdf
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