Pedestrian gender classification using combined global and local parts-based convolutional neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-018-0725-0
Abstract: The identification of a person’s gender plays an important role in various visual surveillance and monitoring applications which are growing more ubiquitously. This paper proposes a method for gender classification of pedestrians based on whole… read more here.
Keywords: classification; gender; parts based; global local ... See more keywords
Improved manufacturing performance of a new antifriction composite parts based on copper
Sign Up to like & getrecommendations! Published in 2018 at "Engineering Failure Analysis"
DOI: 10.1016/j.engfailanal.2018.04.034
Abstract: Abstract The results of structural periodicity in the antifriction composite parts based on copper alloyed with Ni, Mo, and W with solid lubricant CaF2 have been presented in paper. The periodicity of structure was studied… read more here.
Keywords: composite parts; based copper; parts based; antifriction ... See more keywords
Autonomous Selective Parts-Based Tracking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2967580
Abstract: Object tracking from videos is still a challenging task due to various changes throughout a video sequence including occlusions, motion blur, scale and other deformation changes. In this paper, we propose a selective parts-based approach,… read more here.
Keywords: selective parts; parts based; approach; based approach ... See more keywords