Title :
A smart camera for real-time human activity recognition
Author :
Wolf, Wayne ; Ozer, I. Burak
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper describes a smart camera system under development at Princeton University. This smart camera is designed for use in a smart room in which the camera detects the presence of a person in its visual field and determines when various gestures are made by the person. As a first step toward a VLSI implementation, we use Trimedia processors hosted by a PC. This paper describes the relationship between the algorithms used for human activity detection and the architectures required to perform these tasks in real time
Keywords :
data compression; digital signal processing chips; image motion analysis; microcomputer applications; tracking; transform coding; very high speed integrated circuits; video cameras; video coding; DCT coefficient; MPEG motion vectors; PC; Princeton University; Trimedia processors; VLSI implementation; compressed domain; human activity detection; human activity recognition system; personal computer; real-time human activity recognition; smart camera system; video-enabled smart room; visual field; Architecture; Face recognition; Humans; Image segmentation; Motion analysis; Real time systems; Sensor arrays; Smart cameras; System testing; Very large scale integration;
Conference_Titel :
Signal Processing Systems, 2001 IEEE Workshop on
Conference_Location :
Antwerp
Print_ISBN :
0-7803-7145-3
DOI :
10.1109/SIPS.2001.957350
