[PDF] Top 20 Robust view invariant multiscale gait recognition

... of multiscale approach for subject identification when the matching gallery view of the probe subject is not detected by keeping computational complexity as low as possible, the effectiveness of Gabor ... See full document

... 2.5D view-invariant gait recognition approach outperforms the VTM method and the 3D-based VTM ...2.5D gait data to extract multi-view gait features for VTM ...the ... See full document

... Kang &Szeliski [16] utilized DMM to preserve spatial and temporal contextual information between space-time cells rather than estimating from a single view of images. Hence, local points of all frames in a ... See full document

... global gait features as in [Bashir et ...different view pairs ...named view-invariant discriminative projection (ViDP) [Hu et ...cross-view gait recognition possible ... See full document

... camera gait recons- truction which is independent of the walking direction and of the camera ...by gait has unique advantages with respect to other biometric techniques: the identification of the walking ... See full document

... for recognition of common pathological gaits of the elderly from side view gait ...abnormal gait database show that the capability of the designed system is promising in recognizing as well as ... See full document

... face recognition, especially where there are expression variations. In view of the recognition accuracy curves in ...good recognition result in 36 ...the recognition rate also rapidly ... See full document

... Gait recognition can be grouped into template-based and sequence-based ...a gait template by rendering pixel level operators on the aligned silhou- ettes (Han and Bhanu 2006; Wang et ...the ... See full document

... a view-invariant sparse representation, as well as a classifier to recognize actions with an arbitrary view by using an end-to-end framework to learn view invariance ...each view to ... See full document

... more robust to depth noise, due to the usage of principal ...action recognition. Recent works on depth-based 3D action recognition focus more on specific problems such as cross-view action ... See full document

... a view transformation model (VTM), which adopts a multi-layer perceptron as a regression ...estimates gait features from one view using selected regions of interest from another ...normalized ... See full document

... natural gait speed. Recognition rates obtained by these techniques, when processing sequences of motion acquired with different geo- metric pose and speed configurations, are typically quite ...proposed ... See full document

... For view-invariant gait recognition to be practical, few cameras should be ...2D gait images that include incomplete body images to estimate the 3D gait ...3D gait pose is ... See full document

... to gait recogni- tion area by Guan et ...is robust to a broad range of covariates like shoe, (small changes in) camera viewpoint, carrying condition [4], clothing [5], and covariates caused by the extremely ... See full document

... Gait recognition approaches can be broadly classified into two categories: model-based and appearance-based, in terms of different feature ...Model-based gait recognition refers to identifying ... See full document

... based gait recognition (DNGR) method in [26] nor- malises gait dynamics using population HMM whose states represent specific gait stances over a gait period determined by Viterbi ... See full document

... 2016 Robust arbitrary view gait recognition based on parametric 3D human body reconstruction and virtual posture synthesis.. Pattern Recognition, 60.[r] ... See full document

... of gait recognition includes subject segmentation, feature extraction, and ...automatic gait recognition has focused on the development of methods for extracting features from the input ... See full document

... total recognition rates of Single Scale Retinex and LBP, Multi scale Retinex and LBP, LOG-(DCT) and LBP method and Retinex based LOG(DCT) and LBP method are respectively 48%, 45%, 74% and ... See full document

... Face recognition is one kind of biometric technology that can be used to monitor people without their ...face recognition, when in fact dynamic features are those which are required for characterizing the ... See full document