Work Completion Seminar: New SIFT-based Calibration Methods for Hybrid Camera System

Dear all,

You are most welcome to attend the Work Completion Seminar by Mr Mr. Low Yi Qian (Master of Engineering Science), on his research title of New SIFT-based Calibration Methods for Hybrid Camera System. Details are as follow:

Date: 25/11/2011 (Fri)
Time: 11:00am-12:00noon
Venue: 5A meeting room, 5th floor, SA Block, FES, UTAR KL Campus.
Research title: New SIFT-based Calibration Methods for Hybrid Camera System
Candidate: Low Yi Qian
Abstract:
Multi-cameras networks have an important role in surveillance systems. In traditional cameras networks mainly based on static cameras. Static camera provides low resolution and poor image quality in modeling. At the meanwhile, Pan-Tilt-Zoom (PTZ) camera is able to obtain multi-angles of views and multi-resolution information; it provides more functionality compared with static camera. In multi-camera networks, they obtain two or more different perspectives views of scene to perform calibration within one another. Traditional approach to solve this problem is by using human inputs or referenced objects to find matched correspondences among all images. The recent works by some researchers have brought remarkable increase of automation to these problems. One of the main challenges in multi-cameras calibration is to obtain an accurate and fast estimation of disparities of two different views of scene. Besides disparities, differences might be caused by occlusion of the object, specular reflection, sensor noise and various other causes.
In this project, we designed and constructed a new hybrid camera system instead of using two static cameras. More precisely, our hybrid camera system consists of a static wide angle camera and a PTZ camera. Both cameras obtain different optical elements and resolutions. We proposed a master-slave concept to represent both cameras. A static camera is master camera with wide angle view is used to monitor the environment from a distance. The images taken from the master camera will be used as reference images. When the master camera detects an object of interest, the slave camera - PTZ camera, will zoom into the region of interest (ROI). PTZ camera plays an important role at pointing towards the ROI in high resolution as well as providing different parameters of PTZ values. Then, we studied and proposed calibration methods for the hybrid camera system. In particular, Scale Invariant Features Transform (SIFT) was used to identify keypoints to perform multiple views matching. One of the major contributions of this project is to design and develop a new smart filtering technique based on the principle of trigonometry, called Trigonometry Filter Technique (TFT). TFT is used to filter the false keypoints by calculating and classifying the orientation of the images. Furthermore, TFT also increases the determination and detection rate of ROI image localization. Secondly, we proposed a novel calibration method based on multiple-image stitching approach. By stitching images (by PTZ camera), a high resolution panorama image will be created. Finally, we are able to stitch and calibrate both static master camera and PTZ camera images without the use of any object as reference. By eliminating the use of reference objects, the obtained empirical results show good performance to handle images from various kinds of angles, scaled and target uncertainties.

IEEE CAS Distinguish Lecture by Prof Magdy Bayoumi

The IEEE Circuits and Systems Society would cordially invite all to the IEEE CAS Distinguished Lecture on 15th Nov from 9am to 12pm at University Putra Malaysia. The lecture is mainly sponsored by the Circuits and Systems Society under its Distinguished Lecturer Program.

Date: 15 November 2011
Time: 9am - 12pm
Venue: Bilik Seminar Aras 2, Fakulti Kejuruteraan, Universiti Putra Malaysia
Speaker: Prof. Madgy Bayoumi
Title: Wireless Sensors Networks: Current and Future Challenges

Please book your diary for the mention time and date (free for all).

The details of the Distinguished Lecture is as below:
Distinguished Lecturer is Prof Magdy Bayoumi.
Title: Wireless Sensors Networks: Current and Future Challenges
(Abstract)
Computers, communication, and sensing technologies are converging to change the way we live, interact, and conduct business. Wireless sensor networks reflect such convergence. These networks are based on collaborative efforts of a large number of sensor nodes. They should be low-cost, low-power, and multifunction. These nodes have the capabilities of sensing, data processing, and communicating. Sensor networks have a wide range of applications, from monitoring sensors in industrial facilities to control and management of energy applications to military and security fields. Because of the special features of these networks, new network technologies are needed for cost effective, low power, and reliable communication.
These network protocols and architectures should take into consideration the special features of sensor networks such as: the large number of nodes, their failure rate, limited power, high density, etc. In this talk the impact of wireless sensor networks will be addressed, several of the design and communication issues will be discussed, and a case study of a current project of using such networks in drilling and management off-shore oil and natural gas in the gulf region will be given.

Your attendance is highly appreciate.

Many thanks.
Regards,
IEEE CAS committee

Marco Tempest: The augmented reality of techno-magic

IEEE SMC DLP: Humanized Computational Intelligence with Interactive Evolutionary Computation

You are invite to attend the IEEE SMC Malaysia Section Chapter Distinguished Lecture Seminar: Humanized Computational Intelligence with Interactive Evolutionary Computation conducted by Prof. Hideyuki TAKAGI from Kyushu University, Japan.

Date: Friday, December 09, 2011
Time: 11am – 12pm
Venue: NMES Lab, FOE, MMU Cyberjaya
Topic: Humanized Computational Intelligence with Interactive Evolutionary Computation
Speaker: Prof. Hideyuki Takagi


Your presence for this seminar will be highly appreciated.

Machine Learning Workshop

UTAR Robotic Society will be organizing a 1-day Machine Learning Workshop on 12 November 2011.

Below are the details of the workshop:

Title: Machine Learning Workshop
Speaker: Tay Yong Haur
Date: 12/11/2011 (Sat)
Time: 9am-5pm.
Venue: OSK Lab, FES, UTAR KL, Setapak, Kuala Lumpur.
Fee: RM15/person (inclusive of refreshment and lunch).

Topics covered are:
-Introduction to ML
-Introduction to Neural Networks
-Hands-on Neural Networks

Please check out the details of registration here: http://utarrobotic.blogspot.com/2011/11/machine-learning-workshop.html