S Kang, H Byun, SW Lee - … journal of pattern recognition and artificial …, 2003 - World Scientific
… Pedestrian detection is an integrated task of locating and estimating the movement of pedestrians from image sequences. Most human detection and tracking systems employ simple …
S Kang, H Byun, SW Lee - … Workshop on Support Vector Machines, 2002 - Springer
… For pedestrian detection, we have used stereo-based segmentation and SVM (SupportVector Machines), which … A people tracking system is an integrated system for the detecting and …
AS Nisha, K Thulasimani - … Journal of Computer Science and Mobile …, 2014 - academia.edu
… on-board pedestrian detection systems. This paper proposes a pedestrian detection system … combined with the classification done using SupportVectorMachine (SVM). The location of …
… This paper presents an indoor pedestrian navigation solution relying on motion recognition … The classification technique used in this work is the LS-SVM. LS-SVM tackles linear systems …
J Baek, J Kim, E Kim - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
… In pedestrian detection, a linear supportvectormachine (linSVM) is popularly used as a … of pedestrians. Kernel SVM (KSVM) could be a better choice for pedestrian detection, but it has …
Y Ma, X Chen, G Chen - Network and Parallel Computing: 8th IFIP …, 2011 - Springer
… feature is more suita By treating each bin of H Adaboost pedestrian detec performance to HOG-SVM We observe performance d SVM detector to Adaboost is similar when using the H …
M Bertozzi, A Broggi, M Del Rose, M Felisa… - 2007 IEEE Intelligent …, 2007 - Citeseer
… We learn the linear SupportVectorMachine classifier on this subset and test on a random subset of 500 images of pedestrian and 500 non-pedestrian. It should be noticed that images …
… of the crowd, we trackpedestrians who exhibit significant … pedestrians displaying different speeds and directions. However, due to the large number of people in the video, pedestrian …
W Ouyang, X Zeng, X Wang - IEEE transactions on pattern …, 2014 - ieeexplore.ieee.org
… filters with deformation under the star model learned with the Latent SVM in [30]. The two-… , and integrating the model into a tracking approach. These contributions are orthogonal to our …