One of the most important problem in target tracking is Line Of Sight (LOS) rate estimation for using from PN (proportional navigation) guidance law. This paper deals on estimation of position and LOS rates of target with respect to the pursuer from available noisy RF seeker and tracker measurements. Due to many important for exact estimation on tracking problems must target position and Line O...

Tracking the movement of rolling leukocytes in vivo contributes to the understanding of the mechanism of the inflammatory process and to the development of anti-inflammatory drugs. Several roadblocks exist that hinder successful automated tracking including the moving background, the severe image noise and clutter, the occlusion of the target leukocyte by other leukocytes and structures, the ji...

Mutual-aided target tracking and identification (ID) schemes are described by exploiting the couplings between the target tracking and object ID systems, which are typically implemented separately. A hybrid state space approach is formulated to deal with continuous-valued kinematics, discrete-valued target type, and discrete-valued target pose (inherently continuous but quantized). We identify ...

This paper deals with video-based face recognition and tracking from a camera mounted on a mobile robot companion. All persons must be logically identified before being authorized to interact with the robot while continuous tracking is compulsory in order to estimate the person's approximate position. A first contribution relates to experiments of still-image-based face recognition methods in o...

Color-based tracking is prone to failure in situations where visually similar targets are moving in a close proximity or occlude each other. To deal with the ambiguities in the visual information, we propose an additional color-independent visual model based on the target’s local motion. This model is calculated from the optical flow induced by the target in consecutive images. By modifying a c...

Existing detection systems generally are operated using a fixed threshold and optimized to the Neyman–Pearson criterion. An alternative is Bayes detection, in which the threshold varies according to the ratio of prior probabilities. In a recursive target tracker such as the probabilistic data association filter (PDAF), such priors are available in the form of a predicted location and associated...

Spatial size of training samples: We evaluated the performance of our tracker over a range of different spatial support sizes on the OTB50 dataset, as shown in Table 1. We set the spatial size of training samples to be N2 times bigger than the target, where N 2 [2, ..., 5]. This experiment shows that increasing the support size improves the overlap precision, since more background patches are u...

Generic visual tracking is a challenging computer vision problem, where the position of a specified target is estimated through a sequence of frames. The only given information is the initial location of the target. Therefore, the tracker has to adapt and learn any kind of object, which it describes through visual features used to differentiate target from background. Standard appearance featur...

The knowledge of the visual strategies adopted while walking in cognitively engaging environments is extremely valuable. Analyzing gaze when a treadmill and a virtual reality environment are used as motor rehabilitation tools is therefore critical. Being completely unobtrusive, remote eye-trackers are the most appropriate way to measure the point of gaze. Still, the point of gaze measurements a...

In earlier work we introduced a generic, modular tracker architecture that combines the advantages of several simple and rapidly performing tracking algorithms. The adaptive choice of critical system parameters such as processing regions and resolution results in robustness to varying frame rates and computational constraints. In this paper, we describe the embedding of our tracker into a distr...