Exact(3)
We define a foreground region as a reliable object, if the region is detected and matched in subsequent frames.
A reliable object classification and intruder detection technique is needed to be performed by the sink node so that object detection would be accurate.
The detection result of a reliable object already being tracked is compared to the tracking result of GMM-SAMT to check if the detection result is still valid; see Figure 1.
Similar(57)
In this paper, we propose a novel secure and reliable object tracking protocol that considers security and object tracking tasks simultaneously.
Cooper, Brian and Crespo, Arturo and Garcia-Molina, Hector (2000) Implementing a Reliable Digital Object Archive (Extended Version).
McGugin, R. W., Gatenby, J. C., Gore, J. C. & Gauthier, I. High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance.
The performance evaluation results show that the proposed protocol allows the network to retain the reliability of tracking data even in the presence of compromised nodes, thereby achieving secure and reliable object tracking process.
We explore spatial temporal correlation for reliable object detection and reconstruction of its possible trajectory in progressing series of time.
After the GMM-based background subtraction it has to be decided which of the detected foreground pixels in the binary mask represent true and reliable object regions.
Seeing the world in colour allows for reliable object detection and recognition under variable illumination.
As can be seen in Figure 1 the surveillance system combines a detection unit and a tracking unit using a method for determining and matching reliable objects based on a projective transformation.
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