Mohammad Mayya

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Automated bone segmentation is one of the most challenging problems in medical imaging. The increasingly demanded MR imaging suffers from low contrast and signal-to-noise ratio when it comes to bones. To increase the segmentation robustness, a prior model of the structure could guide the segmentation when explicit information is missing or weakly presented.(More)
In this paper, we present a long-term monitoring of moving and high deformable objects with fast thermographic infrared imaging, in a process of developing an automated image analysis of laboratory animals’ postures and activities. For this several days tracking, we tackle the object deformations with a model-based articulated body parts scheme and the(More)
This paper describes an embedded system for real-time human motion detection using a fixed camera. A modified version of the Codebook algorithm is developed to detect moving objects. This algorithm provides fast background modelling and subtraction with small storage memory requirements. Then, the system detects humans using a simplified Skeletonization(More)
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