Luma Issa Abdul-Kreem

• University of Technology - Iraq

Multimedia technologies have increased the demand for interactive tools that offer touchless interaction. In response to this demand, Leap Motion Controller (LMC) has emerged as a touchless motion-tracking device for precise hand movement analysis. This work introduces a novel method for hand movement estimation using an LMC. The data captured by L...

Shadow removal is crucial for robot and machine vision as the accuracy of object detection is greatly influenced by the uncertainty and ambiguity of the visual scene. In this paper, we introduce a new algorithm for shadow detection and removal based on different shapes, orientations, and spatial extents of Gaussian equations. Here, the contrast inf...

In this paper, a plantar pressure and foot kinematics measurement system is proposed for detecting normal and abnormal gait. A sensorized insole was fabricated using five force resistive sensors and was set in a thin layer of Fablon adhesive film. An inertial measurement unit (IMU) is located at end of the distal phalanx of the second toe to read a...

This paper outlines a neural model inspired by the dorsal stream of the visual system for motion recognition. Two areas are considered: the primary visual area (V1) and the middle temporal area (MT). In model area, V1 neurons are organized to detect eight local motion directions. MT is modelled using classical receptive field (CRF), where the cells...

Biologically inspired computational models of visual processing often utilize conventional frame-based cameras for data acquisition. Instead, the Dynamic Vision Sensor (DVS) emulates the main processing sequence of the mammalian retina and generates spike-trains to encode temporal changes in the luminance distribution of a visual scene. Based on su...

Biologically inspired computational models of visual processing often utilize conventional frame-based cameras for data acquisition. Instead, the Dynamic Vision Sensor (DVS) emulates the main processing sequence of the mammalian retina and generates spike-trains to encode temporal changes in the luminance distribution of a visual scene. Based on su...

The visual cortex analyzes motion information along hierarchically arranged visual areas that interact through bidirectional interconnections. This work suggests a bio-inspired visual model focusing on the interactions of the cortical areas in which a new mechanism of feedforward and feedback processing are introduced. The model uses a neuromorphic...

In this paper, we propose a new bio-inspired approach for motion estimation using a Dynamic Vision Sensor (DVS) (Lichtsteiner et al., 2008), where an event-based-temporal window accumulation is introduced. This format accumulates the activity of the pixels over a short time, i.e. several fis. The optic flow is estimated by a new neural model mechan...