TY - GEN
T1 - A novel 2D marker design and application for object tracking and event detection
AU - Liu, Xu
AU - Doermann, David
AU - Li, Huiping
AU - Lee, K. C.
AU - Ozdemir, Hasan
AU - Liu, Lipin
PY - 2008
Y1 - 2008
N2 - In this paper we present a novel application which uses 2D barcode for object tracking and event detection. We analyze the relationship between the spatial efficiency of a marker and its robustness against defocusing. Based on our analysis we design a spatially efficient and robust 2D barcode, M-Code (Marker- Code) which can be attached to the surface of static or moving objects. Compared with traditional object detection and tracking methods, M-Code not only identifies and tracks an object but also reflects its position and the orientation of the surface where it is attached. We implemented an efficient algorithm that tracks multiple M-Codes in real time in the presence of rotation and perspective distortion. In experiments we compare the spatial efficiency of M-Code with existing 2D barcodes, and quantitatively measure its robustness, including its scaling capability and tolerance to perspective distortion. As an application we use the system to detect door movements and track multiple moving objects in real scenes.
AB - In this paper we present a novel application which uses 2D barcode for object tracking and event detection. We analyze the relationship between the spatial efficiency of a marker and its robustness against defocusing. Based on our analysis we design a spatially efficient and robust 2D barcode, M-Code (Marker- Code) which can be attached to the surface of static or moving objects. Compared with traditional object detection and tracking methods, M-Code not only identifies and tracks an object but also reflects its position and the orientation of the surface where it is attached. We implemented an efficient algorithm that tracks multiple M-Codes in real time in the presence of rotation and perspective distortion. In experiments we compare the spatial efficiency of M-Code with existing 2D barcodes, and quantitatively measure its robustness, including its scaling capability and tolerance to perspective distortion. As an application we use the system to detect door movements and track multiple moving objects in real scenes.
UR - https://www.scopus.com/pages/publications/68649086158
U2 - 10.1007/978-3-540-89639-5_24
DO - 10.1007/978-3-540-89639-5_24
M3 - Conference contribution
AN - SCOPUS:68649086158
SN - 3540896384
SN - 9783540896388
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 248
EP - 257
BT - Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
T2 - 4th International Symposium on Visual Computing, ISVC 2008
Y2 - 1 December 2008 through 3 December 2008
ER -