My research mainly focus on computer vision, image processing, data acquisition, computer interface, field bus transfer protocol, optoelectronic inspection, control system simulation, distributed system and human computer interaction.


  human re-identification for security surveillacen

This project aims to recognize suspicious target from multiple cameras without overlapping field of view. This is a very challenging problem for security surveillance. The most challenging part of the project is finding discriminative features from the target since the videos are at low resolution with periodic jitter and illumination condition and angle of view are different for every camera. It is also very crucial yet difficult to design a human detector and tracker that are efficient and errorless. Currently we have finished the algorithm design of target tagging and precisely locating, and we are working on finding a good descriptor as well as an effective online-discriminative feature selection algorithm.


  calibration and dynamic correction for pan-tilt-zoom cameras

Most modern wide-area camera surveillance networks make extensive use of PTZ cameras. However, since such cameras are in constant motion, accumulated errors from imprecise mechanisms, random noise, and power cycling render any calibration in absolute world coordinates useless after many hours of continuous operation. We propose a method based on the automatic detection and matching of scene features to maintain the calibration of a PTZ camer after its initial calibration, so that when a user directs the camera to given (pan, tilt, zoom) coordinates, the same field of view is always attained. Consequently, the absolute PTZ coordinates for a given camera can be trusted to be accurate, leading to improved performance on important tasks like the 3D triangulation of a tracked target.


  counter-flow detection for airport security surveillance

Counterflow detection is an important problem in security surveillance applications, such as one-way passages from secure areas to non-secure areas in airports. We describe a solution to detecting counterflow in a fixed camera that leverages the detection
of scene features to improve performance. We also introduced a classifier that simultaneously identifies scene feature trajectories and detects counterflow motion. Explicitly including scene features in the flow classifier improves robustness, reduces the mixing of foreground and background in point tracks, and allows the detection of jitter frames.


  real-Time airport security checkpoint surveillance system

This project aims to design an airport security checkpoint surveillance system using a camera network. The system tracks the movement of each passenger and carry-on bag, continuously maintains the association between bags and passengers, and verifies that passengers leave the checkpoint with the correct bags. We investigat methods for calibrating the camera network and tracking the many moving objects in the environment. We define a state machine for bag tracking and association, dividing the imaged area into several semantically meaningful regions.

  visual tracking system for EMPAC studio 2

This project aims to design a visual tracking system for a 2500 ft2 black box studio at RPI's new Experimental Media and Performing Arts Center, enabling real-time multi-person tracking for a wide range of research applications. The first goal of the project is to provide the user with real-time estimates of the (x,y) floor positions of all the people in the studio. Subsequent research goals include highly efficient intrinsic and extrinsic calibration of the camera array, automatic multi-person tracking algorithms under complex conditions such as dimly lit or crowded scenes, and interactions with other sensors and actuators such as wall-mounted pan-tilt-zoom cameras, projectors, lights and audio recorders. We expect the system to became a valuable research testbed and infrastructure addition to EMPAC that will improve the utility of the studio space and promote interaction between scientists, engineers, and artists.


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