State-of-the-art video object detection methods maintain a memory structure, either sliding window or queue, to enhance the current frame using attention mechanisms. However, we argue that these structures are not efficient sufficient because of two implied operations: (1) concatenating all features in for enhancement, leading heavy computational cost; (2) frame-wise updating, preventing from c...

Moving object detection is an important task in real-time video surveillance. However, in real scenario, moving cast shadows associated with moving objects may also be detected, making moving cast shadow detection a challenge for video surveillance. In this paper, we propose an adaptive shadow detection method based on the cast shadow model. The method combines ratio edge and ratio brightness, ...

Automatic processes on seismic data using pattern recognition is one of the interesting fields in geophysical data interpretation. One part is the seismic object detection using different supervised classification methods that finally has an output as a probability cube. Object detection process starts with generating a pickset of two classes labeled as object and non-object and then selecting ...

This paper aims to show that by using low level feature extraction, motion and object identifying and tracking methods, features can be extracted and indexed for eYcient and eVective retrieval for video; such as an awards ceremony video. Video scene/shot analysis and key frame extraction are used as a foundation to identify objects in video and be able to Wnd spatial relationships within the vi...

Recent advances in visual computing algorithms and hardware have opened up a lot of application possibilities in security, surveillance, intelligent home, video content analysis and management, and other consumer electronics applications. In this special session we invite researchers around the world working in this area to present their recent results in both algorithm research and system opti...

Nowadays moving object detection has become a very prime area for research due to its use in various computer vision applications. Beside from the vital benefit of being able to differentiate video streams into moving and background content, detecting moving objects provides a purpose of attention for recognition, classification and activity scrutiny making these later steps more effective. Thi...

VIDEO PROCESSING METHODS ROBUST TO ILLUMINATION VARIATIONS Fuat Çoğun M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr.A. Enis Çetin 09.08.2010 Moving shadows constitute problems in various applications such as image segmentation, smoke detection and object tracking. Main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the us...