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Two types of information exist in a stereo pair: correlation (matching) and decorrelation (half-occlusion). Vision science has shown that both types of information are used in the visual cortex, and that people can perceive depth even when correlation cues are absent or very weak, a capability that remains absent from most computational stereo systems. As a step toward stereo algorithms that are more...
Minimally conscious state (MCS) is a neurological syndrome in which the patient shows signs of partial consciousness after having emerged from unresponsive wakefulness syndrome (UWS), which itself follows a state of coma. Distinguishing between MCS and UWS is complex and has major impact on the clinical management and prognosis of affected patients. Research on disorders of consciousness (DoC) has...
This paper deals with design of hybrid software and hardware sensor, which can be used for mobile robots visual odometry task. The paper is focused to sensing raw data only. This approach combines onboard hardware sensors - accelerometer, gyroscope, magnetometer and camera with software module, which is mainly based on computer vision. Output from vision system is relative change of position and rotation...
For distributed smart camera networks to perform vision-based tasks such as subject recognition and tracking, every camera's position and orientation relative to a single 3-D coordinate frame must be accurately determined. In this paper, we present a new camera network localization solution that requires successively showing a 3-D feature point-rich target to all cameras, then using the known geometry...
We propose a unified framework using Latent Dirichlet Allocation (LDA) for discovering behaviour global correlations over a distributed camera network. We explore LDA for categorising object motion patterns as local behaviours in each camera view before correlating these local behaviours globally over different physical locations in multi-camera views. In particular, a Temporal Order Sensitive LDA...
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