Following is a list of a few of the projects underway with CPL.  Most of the projects listed below have  a lot of overlap with each other.

Automated Understanding of Captured Experiences project is aimed at reducing substantially the human input necessary for creating and accessing large collections of multimedia, particularly multimedia created by capturing what is happening in an environment.

The Aware Home project is a an attempt at a building a large scale living laboratory that is aware of its inhabitants and their activities.

Ballet In ABox is HCI research in the domain of ballet. While good dance instructors are masters in their own right, we are collaborating with the Psychology department to build and evaluate a computer system that could be used to teach dance. The system will provide users with views of each dance motion from various angles and at different speeds, and is being tested against video-instruction tapes and books.

Classroom 2000: Capture your whole classroom experience, a room that takes notes.

DFacs: A research project aimed at the recognition, modeling, and realistic animation of facial expressions.  Various methods for recognition of facial expressions have been developed.  At present our interest in creating a database for testing our system and towards realistic animation of facial expressions.

Euripides' The Bacchae is a PTRL production of a greek tragedy performed at the Dramatech theater in March, 1998. As our first step toward applying our research in the world of entertainment f/x, we provided parts of a computer vision system, in the form of video-augmenting software, to represent the world as seen from the eyes of a blind soothsayer.

i. a. e. Intelligent and Aware Environments (aka. Smart Spaces) are spaces that have been transformed into smart work areas where color CCD cameras, big screen displays, microphones, and other sensors are fused with computers. Real-time analysis and tracking of lab inhabitants takes place. An intelligent agent interfaces with lab dwellers and other devices in the room.  (Older Link)

Model-basedHead Tracking: A Robust method for tracking  heads from video is developed. In this method the head is tracked  by finding the six translation and rotation parameters to register a rendered image of the textured model with the head in the video image.

ObjectSspaces is a vision-based methodology for detecting and recognizing physical interactions between a person and objects in the surroundings. Human action recognition as well as object classification is performed using an object-oriented framework. The goal is to make computers aware of people and their activities. This research has applications in automatic video annotation and surveillance as well as in embedded environments.

PePe (PErsonal PEt)  project is a long-term research project to build intelligent, adaptive, user-friendly agent that displays different emotional states and awide range of behaviors. More specifically, we are trying to build an agent that exhibits pet-like behaviors and emotions. Our goal is to make the interaction between the user and the agent as natural as possible thus making the user perceive the agent more as a friend or a pet than as a toy.

Smart Floor We are creating a system that identifies and tracks people based on their footfalls. We are instrumenting a space in order to track and identify multiple people across a large indoor area. We are also integrating video indetification and tracking technologies into the project. Applications we are exploring include home activities, art and dance performance, and entertainment.

Ubiquitous  Video and Audio: The aim of this project is to explore and prototype a spectrum of applications for ubiquitous video and audio processing in our daily environments.  We are developing methodologies to instrument spaces with video and audio sensors and studying modeling techniques for interpretation and analysis of signals that are captured by these sensors.