Dr ENG How Lung

Dr ENG How Lung

 

 

Research Fellow
Email: howlung.eng@ntu.edu.sg

Education

Doctor of Philosophy (Electrical) (July 1998 – July 2001)
School of Electrical and Electronic Engineering, Nanyang Technological University
Bachelor of Engineering (Electrical). (July 1994 – June 1998) 
School of Electrical and Electronic Engineering, Nanyang Technological University

 

Biography

How Lung received his BEng and PhD degrees both in Electrical and Electronic Engineering from Nanyang Technological University, Singapore. He was with the Institute for Infocomm Research (I2R), A*STAR as a Research Scientist and Program Manager for the Video Behavioural Analytics Program. His research interests include real-time vision, pattern classification and machine learning for event detection. He had made several PCT fillings related to video surveillance applications. He was a recipient of the Tan Kah Kee Young Inventors' Award 2000 (Silver, Open Section), the TEC Innovator Award 2002, the IES Prestigious Engineering Awards 2006 and 2008 and IWA PIA Asia Pacific Regional Award 2012 for his works in the areas of video surveillance and analytics. How Lung had also co-founded two companies which deliver computer vision solutions for applications in water quality monitoring and patient activity monitoring.

 

​​​​​Research Interest
Computer vision and visual surveillance and tracking, human behavior recognition, machine learning methods.

 

Academic & Professional Experience
  • Guest editor for a special issue on “Intelligent Monitoring of Complex Environments” of the IEEE Intelligent Systems, June 2010.
  • Guest editor for a special issue on “Automation and Engineering for Ambient Intelligence” for the IEEE Trans. on Automation Science and Engineering, Oct, 2009
  • International Program Committee of ISVC 2006, ISVC 2007, PSIVT07, PSIVT08, VISAPP09.
  • Co-organizer of several special tracks/sessions in the area of video surveillance in the conferences of ISVC05, ISVC06, ISVC07, PSIVT06 and ICARCV06

 

​​​Project
Fish activity monitoring system for drinking water security

Principal investigator of developing a video monitoring solution that performs automated counting number of live and dead fish, and detect abnormal fish movement as an early indication of water contamination. This is part of the national water security effort by the Public Utilities Board of Singapore. The project won the IES (The Institution of Engineers Singapore) Prestigious Engineering Award 2008 and IWA PIA Asia Pacific Regional Award, 2012 (Honour Award for Applied Research).

​Intelligent video analytics solution for epilepsy monitoring
Principal investigator of developing a video monitoring system for epilepsy monitoring in unsupervised circumstances. The solution provides real-time alert to caregivers, and captures data which classifies events and differentiates seizures from non-seizure events. Partnering with Singapore KK Hospital in conducting clinical trial.

 

Early Warning Drowning System (DEWS)

Principal investigator of developing an intelligent system for drowning crisis detection at public swimming pool. The system detects early stage of drowning incident when the victim is struggling at the water surface, while reserving more time for rescue operation. This project won the IES (The Institution of Engineers Singapore) Prestigious Engineering Awards 2006, Tan Kah Kee Young Inventors’ Award 2003 (Merit, Open Section) and Singapore Prime Minister Office’s The Enterprise Challenge Award 2002.

​Intelligent video behavioural analytic for smart compound monitoring and sensing
Principal investigator of developing video behavioural analytic capabilities such as detection of loitering, intrusion, abnormal crowd movements. Participated in testbedding various video analytic capabilities under the IDA’s Jurong Lake District Smart Nation Test Bedding Programme and the SSIPO’s Safe City Test Bed Programme.

 

Publication
Journal

  • Amit Satpathy, Xudong Jiang, How-Lung Eng, “Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients,” IEEE Trans. Image Processing, Vol. 23, No. 1, 287- 297, 2014
  • Myo Thida, How-Lung Eng, Paolo Remagnino, “Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes,” IEEE Trans. Systems, Man and Cybernetics, Part B, Vol. 43, No. 6, pp. 2147-2156, 2013
​Book Chapter

Myo Thida, How-Lung Eng, “Contextual Analysis of Videos,” Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2013, ISBN 9781627051668, pp. 1-102