We propose an efficient approach for tracking humans in presence of severe occlusions through a combination of edge and color features. We implement a part based tracking paradigm to localize, accurately, the head, torso and the legs of a human target in successive frames. The Non-parametric color probability density estimates of these parts of the target are used to track them independently us...

Most visual multi-target tracking techniques in the literature employ a detection routine to map the image data to point measurements that are usually further processed by a filter. In this paper, we present a visual tracking technique based on a multi-target filtering algorithm that operates directly on the image observations and does not require any detection nor training patterns. Instead, w...

Background: Botulism is caused by a neurotoxin produced from the anaerobic, spore forming Bacterium clostridium. Food-borne botulism is one of the dangerous forms of food poisoning in the world. The purpose of this study was to survey some clinical presentations and laboratory findings in patients suspected with botulism toxicity that had received anti-botulism. Methods: This descriptive-retr...

The development of new agricultural industries is an important challenge for a region’s economic establishment. connection between research department at MIGAL Institute and biotechnology in aquaculture example (case study) the interrelationships that also exist other departments. This article describes conducted by institute supporting industry Israel through introduction relatively fish speci...

Optical flow can be used to segment a moving object from its background provided the velocity of the object is distinguishable from that of the background, and has expected characteristics. Existing optical flow techniques often detect flow (and thus the object) in the background. To overcome this, we propose a new optical flow technique, which only determines optical flow in regions of motion....

Many trackers have been proposed for tracking objects individually in previous research. However, it is still difficult to trust any single tracker over a variety of circumstances. Therefore, it is important to estimate how well each tracker performs and fusion the tracking results. In this paper, we propose a symbiotic black-box tracker (SBB) that learns only from the output of individual trac...

Object matching is the process of determining the presence and the location of a reference object inside a scene image. Matching accuracy requires robust image description and efficient similarity measures. In this paper, we present a tree based object matching approach using a descriptor proposed in a previous work [1]. Visual objects are described by a collection of multi-scale covariance mat...

Re-identification of individuals across camera networks with limited or no overlapping fields of view remains challenging in spite of significant research efforts. In this paper, we propose the use, and extensively evaluate the performance, of four alternatives for re-ID classification: regularized Pairwise Constrained Component Analysis, kernel Local Fisher Discriminant Analysis, Marginal Fish...

This paper considers the problem of multiple human target tracking in a sequence of video data. A solution is proposed which is able to deal with the challenges of a varying number of targets, interactions and when every target gives rise to multiple measurements. The developed novel algorithm comprises variational Bayesian clustering combined with a social force model, integrated within a part...