Transform based spatio-temporal descriptors for human action recognition
نویسندگان
چکیده
Classic transformation methods have been widely and efficiently used in image processing areas, such as image de-noising, image segmentation, feature detection, and compression. Based on their compact signal and image representation ability, we apply the transform based techniques on the video recognition area to extract discriminative information from each given video sequence, and use the transformed coefficients as methods on theKTHand theHollywooddatasets,whichhave been extensively studiedbya lot of researchers. The proposed descriptors, especially the wavelet transform based descriptor, yield promising results on
منابع مشابه
Study of Human Action Recognition Based on Improved Spatio-temporal Features
Most of the existed action recognition methods mainly utilize spatio-temporal descriptors of single interest point ignoring their potential integral information, such as spatial distribution information. By combining local spatio-temporal feature and global positional distribution information (PDI) of interest points,a novel motion descriptor is proposed in this paper. The proposed method detec...
متن کاملCombining Spatio-Temporal Appearance Descriptors and Optical Flow for Human Action Recognition in Video Data
This paper proposes combining spatio-temporal appearance (STA) descriptors with optical flow for human action recognition. The STA descriptors are local histogram-based descriptors of space-time, suitable for building a partial representation of arbitrary spatio-temporal phenomena. Because of the possibility of iterative refinement, they are interesting in the context of online human action rec...
متن کاملRecognition of Visual Events using Spatio-Temporal Information of the Video Signal
Recognition of visual events as a video analysis task has become popular in machine learning community. While the traditional approaches for detection of video events have been used for a long time, the recently evolved deep learning based methods have revolutionized this area. They have enabled event recognition systems to achieve detection rates which were not reachable by traditional approac...
متن کاملGenetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition
The potential value of human action recognition has led to it becoming one of the most active research subjects in computer vision. In this paper, we propose a novel method to automatically generate low-level spatio-temporal descriptors showing good performance, for high-level human-action recognition tasks. We address this as an optimization problem using genetic programming (GP), an evolution...
متن کاملHuman Action Recognition and Localization using Spatio-temporal Descriptors and Tracking
In this paper we propose a system for human action tracking and recognition using a robust particle filter-based visual tracker and a novel descriptor, to represent spatio-temporal interest points, based on an effective combination of a new 3D gradient descriptor with an optic flow descriptor. These points are used to represent video sequences using a bag of spatio-temporal visual words, follow...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Neurocomputing
دوره 74 شماره
صفحات -
تاریخ انتشار 2011