… In this paper, an novel seamless indoor pedestrian tracking scheme using LS-SVM assisted
UFIR filter is introduced to achieve seamless reliable human position monitoring in indoor …

… 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 …

… For pedestrian detection, we have used stereo-based segmentation and SVM (Support Vector
Machines), which … A people tracking system is an integrated system for the detecting and …

… on-board pedestrian detection systems. This paper proposes a pedestrian detection system
… combined with the classification done using Support Vector Machine (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 …

… In pedestrian detection, a linear support vector machine (linSVM) is popularly used as a …
of pedestrians. Kernel SVM (KSVM) could be a better choice for pedestrian detection, but it has …

… 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 …

… We learn the linear Support Vector Machine 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 track pedestrians who exhibit significant … pedestrians displaying different
speeds and directions. However, due to the large number of people in the video, pedestrian …

… 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 …