Copyright © 2014 by Intelligent Systems Laboratory, Computer Science Department, Technion - Israel Institute of Technology, Haifa 3200003, Israel. All rights reserved

Tracking A Person Using Color And Depth (Kinect) Images

Tracking A Person Using Color And Depth (Kinect) ImagesSemester: Spring 2011
Students: Assaf Cohen and Hila Sastiel
Instructor:  Amir Geva

Our project uses both color and depth images taken from “Kinect”- a popular depth camera, to segment the picture and find all the objects in the scene. The depth channel enables us to find the edges of objects that have similar colors, while the color channel helps us to distinguish between adjacent objects. After the preceding process, we use a classifier, which is based on SVM (Support Vector Machine), to identify each person in the scene and build a color histogram for him. 


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Background Objects Identification Using Texture And Color

Background Objects Identification Using Texture And ColorStudent: Ilya Gurvich
Instructor:  Tamar Avraham

Winner of the Amdocs excellent project award for 2010!






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Cell Counter Project (2010)

Cell Counter Project (2010)Student:     Leon Brandes

Instructor:  Roman Sandler  (Lab. Head: Michael Lindenbaum)

Initiator:      Dr. Nahum Rozenberg

Some routine medical tasks may be automated to increase their efficiency and diminish their dependency on the human factor. One of such tasks is cell counting. In medical research hundreds of gray-level cell images are taken in order to count them manually. In a typical image, e.g. image 1, there are tens of cells. Nowadays a researcher has to count these cells manually, which is a monotonous time consuming procedure. A computerized automatic cell counter is essential to simplify and standardize this task. 

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People Counter

People CounterBy: Hanoch Goldstein

This project uses video image processing in order to detect motion and analyze it so people entering or leaving will be counted. The program will first ask the user to choose the area on the screen where the image processing will take place. After that two counters will indicate the number of people who entered the area and the number of people who left the area. A third counter indicates the accumulated total of people in the room (number of people who left the area subtracted from the number of people who entered).



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Vergence Fixation On The TRH

Vergence Fixation On The TRHBy: Slavkin Michael and Spirt Oleg

Supervisors: Jeff Fayman and Ehud Rivlin

Vergence is a process utilized by biological vision systems to stabilize an object of interest in the center of the eye. Additionally it produces a scalar distance measure via vergence angles and camera base, which is very important in camera tracking systems. Pahlavan et-al., deeply explore the vergence mechanism. They discuss the relationship between disparity and blur and vergence and accommodation. They point out that vergence is driven both by blur and symmetric disparity and hence can be seen as two different cooperating and competing processes.


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