International Conference Papers
Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/4
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Item A tracking approach for text line segmentation in handwritten documents(Springer, 2017-02-24) Setitra, Insaf; Hadjadj, Zineb; Meziane, AbdelkrimTracking of objects in videos consists of giving a label to the same object moving in different frames. This labeling is performed by predicting position of the object given its set of features observed in previous frames. In this work, we apply the same rationale by considering each connected component in the manuscript as a moving object and to track it so that to minimize the distance and angle of the connected component to its nearest neighbor. The approach was applied to images of ICDAR 2013 handwritten segmentation contest and proved to be robust against text orientation, size and writing script.Item A framework for Object Classification in Fareld Videos(Springer, 2014-12) Setitra, Insaf; Larabi, SlimaneObject classification in videos is an important step in many applications such as abnormal event detection in video surveillance, traf- fic analysis is urban scenes and behavior control in crowded locations. In this work, propose a framework for moving object classification in farfield videos. Much works have been dedicated to accomplish this task. We overview existing works and combine several techniques to implement a real time object classifier with offline training phase. We follow three main steps to classify objects in steady background videos : background subtraction, object tracking and classification. We measure accuracy of our classifier by experiments done using the PETS 2009 dataset.