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Vehicle detection and tracking plays an effective and significant role in the area of traffic surveillance system where efficient traffic management and safety is the main concern. In this paper, we discuss and address the issue of detecting vehicle / traffic data from video frames. Although various researches have been done in this area and many methods have been implemented, still this area has...
In order to improve scene understanding, the focus in image and video retrieval research has been shifted from low-level feature extraction to producing high-level semantic representation of scenes. This paper presents a framework that produces semantic context features for image frame understanding and further employs a one-class classifier for key-frame extraction. Working with wildlife video frames,...
Novelty detection is an important functionality that has found many applications in information retrieval and processing. In this paper we propose a novel framework that deals with novelty detection for multiple-scene image sets. Working with wildlife image data, the framework starts with image segmentation, followed by feature extraction and classification of the image blocks extracted from image...
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