[PDF] Top 20 A Robust Invariant Feature Descriptor for Human Action Recognition

... 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 video ... See full document

... Human action recognition (HAR) has become essential parts of many computer vision applications, and it involves a series of processes such as image data acquisition, feature extraction and ... See full document

... face recognition using a Gaussian Probabilistic Non Additive Entropy based Kernel Entropy Component Analysis with Scale Invariant Feature ...Scale Invariant Feature Transform being a ... See full document

... face recognition. Machine recognition of human face is an active and fast growing area of research due to a wide variety of commercial and law- enforcement applications including access control, ... See full document

... a robust binary feature ...binary feature descriptor using a simple intensity difference test which is called ...BRIEF descriptor is high descriptive power with low computational ... See full document

... novel feature descriptor, because the proposed algorithm would not be useful in practical applications if it needs tuning lots of ...of action levels and the assortment of the wavelength? In order to ... See full document

... Automatic recognition or Computer recognition of facial expression is an active analysis topic in computer vision due to its importance in both human-computer and social ...expression ... See full document

... as feature extraction methods, to improve identification accuracy [46] ...represent human gait, which is robust to factors such as view angle, clothing, ...gait recognition for surveillance ... See full document

... gait recognition, it is extensively compared with several related methods that individually address one or more covariate ...gait recognition (DNGR) method [4], spatio-temporal motion char- acteristics, ... See full document

... areas, Human Activity Recognition (HAR) based on wearable sensors (accelerometer, gyroscope, magnetometer, ...general human problem as a result of a physical inactivity ... See full document

... local feature is then separated into a spatio-temporal grid that includes ...histogram descriptor is determined for each cell of the ...an action recognition algorithm are an optical flow ... See full document

... The surface of the knuckles represents a surface of curvature and produces irregular reflections. Finger knuckle image has a little contrast and an uneven intensity. To achieve a well-distributed texture image the ... See full document

... and feature localization in image sequences are usually based on calculation of the skin color ...of human vision: as long as luma is conveyed with full detail, detail in the chroma components can be ... See full document

... “Cross-view action recognition by cross-domain learning” pro- poses a novel cross-view human action recognition method by discovering and sharing common knowledge among different video ... See full document

... The following section summarizes the SURF algorithm, it is a robust local feature descriptor that is widely utilized in computer vision applications. This algorithm contains three major steps such as ... See full document

... palmprint recognition system based on minutiae is introduced in ...of robust feature extraction steps allows to reliably detect minutiae; moreover, the matching algorithm is very efficient and ... See full document

... Motivated by the human auditory algorithm, Sukittanon et al. [12] proposed to use long-term modulation scale features for audio content identification. Combined with channel compensation and sub-band normalization ... See full document

... The sample image of Urdu numeral is given as input. Support vector machine is primarily the classified method that performs classification task by constructing hyper plane in multidimensional space that separate cases of ... See full document

... or feature- based [4] [5] [6] ...be feature-based ...of Feature-based approaches are more accurate with less computational load, which guarantees a more effective video stabilization ... See full document

... The pre-processing block of the proposed DRB classifier involves only the most fundamental and widely used pre-processing techniques, namely: i) normalization, iii) scaling, ii) rotation and iv) image segmentation. Thus, ... See full document