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The system, which comprises image demosaicking, color detection, relative distance estimation and moving object tracking, is designed for controlling a number of miniature robots, utilizing the system-on-programmable-chip technology.
Segment-based representation of edges can be easily extended to moving object tracking, recognition, and classification.
These two research areas are studied jointly under the denotation SLAM and Moving Object Tracking (SLAMMOT).
Tseng et al. present an algorithm for self-localization and stream field based partially observable moving object tracking.
In a variety of applications, sensor nodes are required to maintain accurate time synchronization, for example, moving object tracking, reconnaissance and surveillance, environmental monitoring, and so forth [1].
Therefore, this paper presents a novel laser range finder based partially observable moving object tracking and self-localization algorithm for interactive robot applications.
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Figure 19 Evolution of all moving object tracks and of their existence probabilities: each track has got a different color.
Figure 12 Evolution of moving object tracks and of their existence probability: each track has got a different color.
Onset of rapid eye pupil movements may occur if a speed of a moving object tracked by the eye of the wearer is equal to or greater than the predetermined threshold speed.
Using motion-detection algorithms, the BriefCam software separates the background (static or non-moving objects) from the moving objects, tracking and analysing any motion within the frame.
A typical surveillance system consists of three building blocks: moving object detection, object tracking and higher-level motion analysis [2].
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