Robust automatic target tracking based on a Bayesian ego-motion compensation framework for airborne FLIR imagery

As it is well known, the RTBP describes the motion of a massless particle under the attraction of two bodies of masses m 1 and m 2 , called primaries, which are assumed to move

In our PIORT (Probabilistic Integrated Object Recognition and Tracking) framework, the static recognition module is based on the use of a classifier that is trained from examples

For measuring the start and the end of a tracking failure the TIM measure is outperforming the other measures both for target model similarities (e.g., clutter) and

Then, four measures based on color and motion are selected and examined in detail with different segmentation algorithms and standard test sequences for video object

It is clear that human motion provides use- ful information for people detection and independent from appearance information, so we also present an integrated system which combines

The laptop equipped with an on-board tracking algorithm utilizes the video frames from the PTZ camera and apply the tracking algorithm to locate the target (Lecturer) and

This project belongs to the visual servoing field, as its main purpose is tracking and controlling the motion of a robot in real time using visual feedback provided by an

Abstract—This paper proposes a novel application of the Stewart–Gough parallel platform as a climbing robot and its kine- matics control to climb through long structures