Nishan Canagarajah

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In this paper we investigate object tracking in video sequences by using the potential of particle filtering to process features from video frames. A particle filter (PF) and a Gaussian sum particle filter (GSPF) are developed based upon multiple information cues, namely colour and texture, which are described with highly nonlinear models. The algorithms(More)
—The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds. In this paper, our recent work [1] on single object tracking using particle filters is extended to multiple objects. In the proposed scheme, track(More)
A perceptually optimised approach to sign language video coding is presented. The proposed approach is based on the results (included) of an eye tracking study in the visual attention of sign language viewers. Results show reductions in bit rate of over 30% with very good subjective quality. Introduction: Coding of image sequences will always result in some(More)
In this paper we describe a system that embarks upon the problem of efficient video processing and representation for automatic semantic classification and modelling for indexing and retrieval of large multimedia databases. The major focus of the system is the integration of a large-scale wildlife digital video archive with manually annotated semantic(More)
Object tracking in video sequences is a challenging task and has various applications. We review particle filtering techniques for tracking single and multiple moving objects in video sequences, by using different features such as colour, shape, motion, edge and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be(More)
This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the measurement origin. I. Introduction Tracking a group of targets in video sequences has many surveillance(More)
– This paper considers mobility tracking in wireless communication networks based on received signal strength indicator measurements. Mobility tracking involves on-line estimation of the position and speed of a mobile unit. Mobility tracking is formulated as an estimation problem of a hybrid system consisting of a base state vector and a modal state vector.(More)
Women and men are different. As humans are highly visual animals, these differences should be reflected in the pattern of eye movements they make when interacting with the world. We examined fixation distributions of 52 women and men while viewing 80 natural images and found systematic differences in their spatial and temporal characteristics. The most(More)
In this paper we introduce a novel sequential Monte Carlo technique, which is based on the family of symmetric α-stable (SαS) distributions. Sequential Bayesian estimation generally involves recursive estimation of filtering and pre-dictive distributions of unobserved signals from their noisy measurements. In our proposed algorithm, the relevant density(More)