TY - GEN
T1 - A comparison of tracking algorithm performance for objects in wide area imagery
AU - Philip, Rohit C.
AU - Ram, Sundaresh
AU - Gao, Xin
AU - Rodríguez, Jeffrey J.
PY - 2014
Y1 - 2014
N2 - Object tracking is currently one of the most active research areas in computer vision. In this paper we compare and analyze the performance of six recent object tracking algorithms on a raw, low resolution, unregistered, interlaced aerial video of multiple cars moving on a roadway. This dataset comprising 50 frames of video offers a wide variety of challenges related to imaging issues such as low resolution, unregistered frames, camera motion, and interlaced video, as well as object detection problems such as low contrast, background clutter, object occlusion and varying degrees of motion. We present the performance of these algorithms in terms of both overlap accuracy and the Euclidean distance of the center pixel returned by the tracking algorithm from the ground truth.
AB - Object tracking is currently one of the most active research areas in computer vision. In this paper we compare and analyze the performance of six recent object tracking algorithms on a raw, low resolution, unregistered, interlaced aerial video of multiple cars moving on a roadway. This dataset comprising 50 frames of video offers a wide variety of challenges related to imaging issues such as low resolution, unregistered frames, camera motion, and interlaced video, as well as object detection problems such as low contrast, background clutter, object occlusion and varying degrees of motion. We present the performance of these algorithms in terms of both overlap accuracy and the Euclidean distance of the center pixel returned by the tracking algorithm from the ground truth.
KW - Object tracking
KW - localization error
KW - overlap area
KW - partial occlusion
KW - wide area imagery
UR - http://www.scopus.com/inward/record.url?scp=84902282992&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902282992&partnerID=8YFLogxK
U2 - 10.1109/SSIAI.2014.6806041
DO - 10.1109/SSIAI.2014.6806041
M3 - Conference contribution
AN - SCOPUS:84902282992
SN - 9781479940530
T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
SP - 109
EP - 112
BT - 2014 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2014
Y2 - 6 April 2014 through 8 April 2014
ER -