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Video Analytics
CS 6327
Erik Jonsson School of Engineering and Computer Science
In-depth analysis of topics such as: video features for (human) activity and event detection; large-scale video event classification algorithms; objects-in-video counting approaches; multi-camera video handling; compressed video event detection and analyzing video in large-scale human traffic areas (such as shopping malls, airports, train-stations, etc.). 3 credit hours.
Prerequisite: CS 5343.
Offering Frequency: Each year
Grades: 38
Median GPA: A-
Mean GPA: 3.386
Click a checkbox to add something to compare.
Video Analytics
CS 6327
Erik Jonsson School of Engineering and Computer Science
In-depth analysis of topics such as: video features for (human) activity and event detection; large-scale video event classification algorithms; objects-in-video counting approaches; multi-camera video handling; compressed video event detection and analyzing video in large-scale human traffic areas (such as shopping malls, airports, train-stations, etc.). 3 credit hours.
Prerequisite: CS 5343.
Offering Frequency: Each year
Grades: 38
Median GPA: A-
Mean GPA: 3.386
Click a checkbox to add something to compare.