He Li

Purdue University
Graduate Research Assistant
Video and Image Processing Laboratory (VIPER)
School of Electrical and Computer Engineering
465 Northwestern Avenue
West Lafayette, IN 47907-2035

Email: li522(At)ecn(Dot)purdue(Dot)edu

About Me


I received the B.S. of Computer Engineering degree from Purdue University in 2014. I'm currently pursuing a Master degree for Electrical and Computer Engineering at Purdue University expected to graduate on December 2016. I am advised by Professor Edward J. Delp.


I have been working on a various of projects since my undergraduate.

  • I have worked on a project previously named "Big Data Project" and currently named "Continuous Analysis of Many CAMeras" (CAM2), of which I received second prize with my team for Schurz Communications Innovation Challenge 2014.
  • For my senior design project, I came up an idea of Gesture Voice control Camera (GVC). This product enables user to use their hands to select region to take pictures instead of traditional viewer, and use their voice to command the device.
  • I joined the Video and Image Processing Laboratory (VIPER) from May 2013. I have mainly working on two projects: Gang Graffiti Automatic Recognition and Interpretaion (GARI) and Mobile Emergency Response GuidE (MERGE).

Research Interests

I am interested in Human Activity Analysis, Behavioral Imaging, Computer Vision.



The Video and Image Processing Laboratory (VIPER), directed by Professor Edward J. Delp, is equipped with state-of-the-art technology to digitize, store, process, stream, and display digital images and video. VIPER supports research in areas such as the development of new image analysis techniques, new image and video compression methods, the development of new surveillance and detection methods, new media and wireless streaming technologies, and creating multimedia material for use in media indexing, storage, and retrieval.

I joined VIPER in May 2013 and here's the research work I've been doing since then:

  • 2013 - present: Gang Graffiti Automatic Recognition and Interpretation (GARI)
  • 2013 - present: Mobile Emergency Response GuidE (MERGE)
  • 2014 - present: Micro Blushing Project
  • 2014 - present: Camera Clustering Project

Graduate Courses

Here's a list of graduate courses I'm planning to take:
MA 511: Advanced Linear Algebra
MA 514: Numerical Analysis
BME 595: Deep Learning
ECE 538: Digital Signal Processing I
ECE 600: Random Variables
ECE 608: Computational Models and Methods
ECE 634: Digital Video System
ECE 637: Digital Image Processing I
ECE 642: Information Theory
ECE 662: Pattern Recognition and Decision Making Processes


[1] N. Gadgil, H. Li, E.J. Delp, “Spatial subsampling-based multiple description video with adaptive temporal-spatial error concealment”, To Appear, Proceedings of the Picture Coding Symposium (PCS), June, 2015, Cairns, Australia.
[2] J. Kim, A. Parra, H. Li, E.J. Delp, “Efficient graph-cut tattoo segmentation”, Proceedings of the IS&T/SPIE Electronic Imaging: Visual Information Processing and Communication, February, 2015, San Francisco, CA.
[3] J. Kim, A. Parra, J. Yue, H. Li, and E. J. Delp, "Robust Local and Global Context for Tattoo Image Matching", Accepted, Proceedings of the IEEE International Conference on Image Processing (ICIP 2015).
[4] T. Pramoun, J. Choe, H. Li, Q. Chen, T. Amornraksa, Y. Lu, E.J. Delp, “Webcam classification using simple features”, Proceedings of the IS&T/SPIE Electronic Imaging: Computational Imaging, February, 2015, San Fracisco, CA.
[5] A. Kaseb, E. Berry, Y. Koh, A. Mohan, W. Chen, H. Li, Y. Lu, E.J. Delp, "A System for Large-Scale Analysis of Distributed Cameras", IEEE Global Conference on Signal and Information Processing 2014.