Human Action Recognition based on Motion Velocity

Abdul-Kreem, Luma Issa

doi:10.1109/scee.2018.8684103

Cited by 2 publications

(1 citation statement)

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“…The biological motions represent a complex and articulated motions which consist different speeds and directions. The model could be boosted with an algorithm that segregates the body motion from the limbs motion (see [33] for a discussion underling the limbs and body motions). As a consequence the tracking model could be depended on the body motion without taking into account the movement of the limbs.…”

Section: Discussionmentioning

confidence: 99%

Object tracking using motion flow projection for pan-tilt configuration

Abdul-Kreem

Abdul-Ameer

2020

IJECE

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We propose a new object tracking model for two degrees of freedom mechanism. Our model uses a reverse projection from a camera plane to a world plane. Here, the model takes advantage of optic flow technique by re-projecting the flow vectors from the image space into world space. A pan-tilt (PT) mounting system is used to verify the performance of our model and maintain the tracked object within a region of interest (ROI). This system contains two servo motors to enable a webcam rotating along PT axes. The PT rotation angles are estimated based on a rigid transformation of the the optic flow vectors in which an idealized translation matrix followed by two rotational matrices around PT axes are used. Our model was tested and evaluated using different objects with different motions. The results reveal that our model can keep the target object within a certain region in the camera view.

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Section: Discussionmentioning

confidence: 99%