Syed Farooq Ali

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Projects

1-Feature based approach for Intelligent Frame Extraction of Events for Cricket Highlight Generation using Support Vector Machine

Description:

This project compacts with a very significant Field in Computer Vision. In this we display how to find and detect important parts of a cricket video, After all the detect features would become starting event that would be automatically from a full length video. Similar techniques can be implied to capture the starting event of cricket match and other Sports too. In This project, our goal to produce more and dependable results using Neural Networking. We rank the intensity of attention to discriminate boundaries of highlights. Such a framework alleviates semantic uncertainty around sport highlights and leads to an efficient and effective highlight detection The Mining process is carried out at multiple levels, removing some needless part of the video at each level.

Student: (12003065281)Muhammad Bilal,( 12003065291)Muhammad Husnain, (12003065288)Muhammad Umer, (12003065305)Muhammad Waqas 

Advisor: Syed Farooq Ali

2-SafetyDriving: Distraction Detection

Description

Driver distraction is an important safety problem for driver as most of the accidents happen due to this. This software helps the driver concentrating on the road  and if any distraction happens it should alert the driver

Student: (111820155)Khawaja Ubaid Ur Rehman, (111820146)Muhammad Hassan Raza,( 111820145)Muhammad Maaz Aslam, (111820148)Ayesha Farooq
Advisor: Syed Farooq Ali

3-Rice Grain Analyzer(Fall 2014-Spring 2015)

Description

Testing the quality of rice is software which helps the farmers to test the quality of rice whether it is good or not. The quality is feed in the software and it checks the rice one by one

Student: (12002065010) Halima Jamil, (12002065009) Razia Jamil, (12002065023) Iqra Torij, (12019020025) Saira Naz
Advisor: Syed Farooq Ali
Co-Advisor: Dr Adnan Abid

4-Attendance System Using Face Recognition

Description

The idea is to mark the attendance using camera based on face detection. The person entering into an office, software house or any organization would look at the camera for 2 to 5 seconds and his attendance would be marked. Students would be able to develop a product and that product can be used in different offices and organizations. The product can be development in matlab, C/C++ using Open CV, Java etc., Student are welcome to chose any of the above mentioned languages or their own preferred languages.
Students: Touqeer Attique (091420176) & Mohsin Ijaz (091420035)
Advisor: Syed Farooq Ali
Co-Advisor: Dr. Malik Tahir

5-On the Frontiers of Face Recognition (Fall 2013 - Spring 2014)

Description

Face Recognition classroom attendance system also looks for faces of students present in classroom and automatically marks attendance of students present in class.
Students: Ghulam Kibria (101620014), Isra Anwar (101620142) & Shah Nawaz (101620011)
Advisor: Syed Farooq Ali
Co-Advisor: Dr. Malik Tahir Hassan

6-Human Fall Detection

Description

Video summarization , (Fall detection) is a system that monitors environment of home using cameras and looks for the people present in the images if some certain person falls down it can do number of things like alarming some authorities or informing some particular person by email, text message etc. its major application is monitoring the elderly in house hold environment, where some fall of the person can be a serious situation.
Students: Muhammad Muaz (081220062), Aliza Fatima (12020020118) & Fatima Idrees (101620074)
Advisor: Syed Farooq Ali
Co-Advisor: Noman Nazar