Pattern Recognition in Video

Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon becomes intractable. Therefore traditionally several of these problems like face recognition, object recognition, scene understanding etc. have been approached using techniques in pattern recognition. Such methods in conjunction with methods for dimensionality reduction have been highly popular and successful in tackling several image processing tasks. Of late, the advent of cheap, high quality video cameras has generated new interests in extending still image-based recognition methodologies to video sequences. The added temporal dimension in these videos makes problems like face and gait-based human recognition, event detection, activity recognition addressable. Our research has focussed on solving several of these problems through a pattern recognition approach. Of course, in video streams patterns refer t...

• Type: Conference
• Year: 2005
• Where: PREMI
• Authors: Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarwal
• Keywords: Activity Recognition, Gait-based Human Recognition, Pattern Recognition, PREMI 2005