Our project implements a handwriting recognition system. Our system is made of a hierarchical multiclass SVM based classifier which tries to classify each of the input letters by itself. And a dictionary comparison system which checks classified words against a dictionary file to see
The area of Digital Terrain Model matching has been neglected for the last decade. Not many have tried to deal with this interesting and practical problem. The project is based on the work of J.J. Rodriguez and J.K. Aggarwal in 1990
4 robots are playing a soccer game, the robots are autonomously controlled, the data is transmitted by RF to the robots, the data is received from a overhead camera.
The system includes an overhead camera, PC computer, 4 robots and RF transmitters
The final goal of this project was to develop an autonomous vehicle that uses a small camera and a Pocket PC computer to track and follow a walking person. In our work we dealt with finding a suitable algorithm for this mission. Several possible algorithms were examined theoretically
Music influence on people was noticed long time ago. Psychologists look for visual and behavioral effects to explain music influence. Our work is one of the first that tries to view the topic from engineering side, find influence on physiological signals
The most common way of giving commands to your computer is, for today, the keyboard. This way keeps your hands constantly working whenever you want to communicate with your PC.
A speech-recognizing computer will have several advantages over the traditional one
There is a growing interest around the world today in surveillance and detection of people, especially in the face recognition department. The complexity of the human face makes face recognition in real time a challenging problem
The MRI images at the focus of this project are of the brain's axial slices. The brain mostly contains two types of substances: water and fat. An examination of the properties of MRI images reveals that the images of the brain are a linear combination of the images
Animal behavior can be researched and classified to detect future events of nature. The most common example is of animal behaving different than usual before an earthquake. This project proposes an automatic system of tracking of fish, as a first stage to classify its behavior
Our main objective in this project was to investigate the abilities of a simple neural network to control arm movements. A neural network was chosen for this task because inside our brain, motor cortex networks control voluntary movements. In our research we hope to find a true model
The detection of man made objects in images is a complex problem in the image processing area which has many applications. There are many different approaches to face the problem. In this project, we will present an algorithm based on multi-channel filtering using Gabor filters
Biological neural networks as non-linear systems with numerous degrees of freedom have high tendency for chaotic behavior. Utilizing the high computational power of such networks requires thorough understanding of their dynamics
The purpose of this project is to enable face recognition from one 2D image when there already exists a database of canonical images – one per subject. We chose to start from the EigenFaces algorithm. We proposed that in order that the EigenFaces algorithm could recognize the test ima
This project is theoretical research and consists of two parts:
The first one is intended to investigate and analyze neural networks signal propagation with mathematical and experimental examination of neural networks pathways as a function of the environment and network
Recognition of motor vehicles has many uses, for example in law reinforcement, security, control of traffic. The purpose of the project is to create a system that is capable of identifying license plates in moving vehicles. The system, which was developed using Matlab, receives a vide
The need for smarter and better security solutions has increased dramatically in the last several years following the wave of global terrorism and rising crime. Many of the existing solutions are based on cameras monitored by a human operator, which is prone to making mistakes
In recent years, considerable effort has been directed toward the identification of neural structures and mechanisms responsible for rewarding adaptive behaviors. The behavioral concept of reward is believed to be correlated with neural processes
Robocar is essentially a robot which uses an iPAQ for brain, a small camera for eyes and a LEGO Mindstorms vehicle to move around. This project is somewhat exceptional in its goals and time invested into it. The project aims at three targets:
The Ultrasound device is an acceptable tool for diagnosis of variety of medical problems. This is mostly true when referring to fertility treatments and examination of the uterus ability to carry a fetus and go through artificial insemination. In order to test this ability we create u
This paper proposes a video based method of driver drowsiness detection using a SVM classifier. The SVM classifier uses several physiological features extracted from the video input. The features are extracted using rudimentary image processing techniques
Functional Magnetic Resonance Imaging is an important and useful tool for exploring the human brain activity. Usually an image of the blood oxygenation levels throughout the brain is produced. High levels represent activity of brain regions responsible for performance of specific task
The liquid state machine (LSM) is a mathematical model of a "liquid computer". A LSM consists of some liquid which transforms the input time series u(t) into "liquid states" x(t). A memory-less readout function f maps the "liquid state" x(t) at time t into the output v(t)=f(x(t))
Biological neural networks are the basic foundation to the great computational ability of the brain.
Every biological unit contains neuron & synapses nets.
The assumption is that if we will succeed in reflecting precisely the neural network in a computational model
The goal of this project is developing an automatic image processing algorithm that enables scanning digital satellite images and recognizing artificial (man-made) objects in them (buildings' clusters, e.g.).
Speech Recognition project was developed as a specified tool for handling computers applications. Speech Recognition fulfills various aspects in our lives that we cannot imagine, Such as applications for the impaired hearing, voice dialing and voice to text (V2T) applications