This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

The aim of this work is to propose an automatic fish classification system that operates in the
natural underwater environment to assist marine biologists in understanding subehavior …

Kalman filter has been successfully applied to tracking moving objects in real-time
situations. However, the filter cannot take into account the existing prior knowledge to …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

Detection of suspicious activities in public transport areas using video surveillance has
attracted an increasing level of attention. In general, automated offline video processing …

This paper presents a visual surveillance scheme for cage aquaculture that automatically
detects and tracks ships (intruders). For ship detection and tracking, we propose a robust …

In this paper we present a tool for the generation of ground-truth data for object detection,
tracking and recognition applications. Compared to state of the art methods, such as ViPER …

This paper presents a fast codebook search method for improving the quantization
complexity of full-search vector quantization (VQ). The proposed method is built on the …

Technological advances in digital imaging, broadband networking, and data storage have
motivated people to communicate and express by sharing images, video, and other forms of …

In this paper we present a very simple and yet effective algorithm to generate codebook. The
algorithm uses sorting method to generate codebook and the codevectors are obtained by …