Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xinpeng L. Liao"'
Publikováno v:
IEEE MultiMedia. 26:42-55
Existing efforts on person reidentification (re-ID) either ignore the structural interactions among person images or require a highly crafted re-ID structure as a priori information. In contrast, our approach formulates person re-ID as a deep structu
Autor:
Xinpeng L. Liao, Chengcui Zhang
Publikováno v:
Multimedia Tools and Applications. 76:21073-21115
Visual tracking estimates the trajectory of an object of interest in non-stationary image streams that change over time. Recently, approaches for model-free tracking have received increased interest since manually annotating sufficient examples of al
Publikováno v:
MIPR
Person re-identification (re-ID) based on visual appearance has been an intensively researched area in computer vision and forensic multimedia analysis. Its goal is to associate person detections under different spatial-temporal scenarios across diff
Publikováno v:
International Journal of Multimedia Data Engineering and Management. 6:32-50
Using object-of-interest matching to detect presence of e-Crime activities in low-duplicate social media images is an interesting yet challenging problem that involves many complications due to the dataset's inherent diversity. SURF-based (Speeded Up
Publikováno v:
ICME Workshops
Converging evidence suggests that the risk of obesity may be at least partially determined during infancy. Instead of measuring total caloric intake, obesity research shifts its paradigm to examining infant feeding behaviors so that the risk of overe