'Activity classification' presentation slideshows

Raffay Hamid, Amos Johnson, Samir Batta, Aaron Bobick, Charles Isbell, Graham Coleman

Activity Discovery and Anomalous Activity Explanation Raffay Hamid, Amos Johnson, Samir Batta, Aaron Bobick, Charles Isbell, Graham Coleman Activity Discovery and Anomalous Activity Explanation Activity Discovery and Anomalous Activity Explanation

828 views • 47 slides

A Forest of Sensors: Using adaptive tracking to classify and monitor activities

A Forest of Sensors: Using adaptive tracking to classify and monitor activities. MIT AI Lab Eric Grimson, Chris Stauffer , Lily Lee, Raquel Romano, Gideon Stein. A Forest of Sensors: Using adaptive tracking to classify and monitor activities. MIT AI Lab Eric Grimson, Chris Stauffer ,

382 views • 38 slides

A Forest of Sensors: Using adaptive tracking to classify and monitor activities in a site

A Forest of Sensors: Using adaptive tracking to classify and monitor activities in a site. Eric Grimson AI Lab, Massachusetts Institute of Technology welg@ai.mit.edu. A Forest of Sensors. Given autonomous vision modules (AVMs): low power, low cost, can compute wide range of visual routines

284 views • 28 slides

A Forest of Sensors: Using adaptive tracking to classify and monitor activities in a site

A Forest of Sensors: Using adaptive tracking to classify and monitor activities in a site. Eric Grimson AI Lab, Massachusetts Institute of Technology welg@ai.mit.edu. A Forest of Sensors. Given autonomous vision modules (AVMs): low power, low cost, can compute wide range of visual routines

359 views • 27 slides

Time Use Survey

Time Use Survey. Classification Of Activities For Time Use Statistics. The New Zealand Classification of Activities for Time-Use Statistics (ACTUS) can be found on the Statistics NZ website. Activity Classification for the Time Use Survey - Statistics New Zealand.

390 views • 20 slides

Fast search methods

320 views • 19 slides