Action Classification Using Weighted Directional Wavelet LBP Histograms
نویسندگان
چکیده
The wavelet transform is one of the widely used transforms that proved to be very powerful in many applications, as it has strong localization ability in both frequency and space. In this paper, the 3D Stationary Wavelet Transform (SWT) is combined with a Local Binary Pattern (LBP) histogram to represent and describe the human actions in video sequences. A global representation is obtained and described using Hu invariant moments and a weighted LBP histogram is presented to describe the local structures in the wavelet representation. The directional and multi-scale information encoded in the wavelet coefficients is utilized to obtain a robust description that combine global and local descriptions in a unified feature vector. This unified vector is used to train a standard classifier. The performance of the proposed descriptor is verified using the KTH dataset and achieved high accuracy compared to existing state-of-the-art methods.
منابع مشابه
Face Recognition Based on Wavelet Transform and Regional Directional Weighted Local Binary Pattern
With the development of information technology, face recognition technology has been continuously developed. This technology has attracted the attention of many researchers, including institutions and production enterprises. Face recognition technology has become a relatively independent application technology area in various social services. This paper presents a face recognition algorithm bas...
متن کاملNew image descriptors based on color, texture, shape, and wavelets for object and scene image classification
This paper presents new image descriptors based on color, texture, shape, and wavelets for object and scene image classification. First, a new three Dimensional Local Binary Patterns (3D-LBP) descriptor, which produces three new color images, is proposed for encoding both color and texture information of an image. The 3D-LBP images together with the original color image then undergo the Haar wa...
متن کاملHSV Color Histogram and Directional Binary Wavelet Patterns for Content Based Image Retrieval
This paper presents a new image indexing and retrieval algorithm by integrating color (HSV color histogram) and texture (directional binary wavelet patterns (DBWP)) features. For color feature, first the RGB image is converted to HSV image, and then histograms are constructed from HSV spaces. For texture feature, an 8-bit grayscale image is divided into eight binary bit-planes, and then binary ...
متن کاملRecognizing Avatar Faces Using Wavelet-Based Adaptive Local Binary Patterns with Directional Statistical Features
In this paper, a novel face recognition technique based on discrete wavelet transform and Adaptive Local Binary Pattern (ALBP) with directional statistical features is proposed. The proposed technique consists of three stages: preprocessing, feature extraction and recognition. In preprocessing and feature extraction stages, wavelet decomposition is used to enhance the common features of the sam...
متن کاملWeighted Directional 3D Stationary Wavelet-based Action Classification
The aim of intelligent surveillance is to conceive reliable and efficient systems having the ability to detect moving objects in complicated real world scenes. These systems also, track the detected objects and analyze their actions and activities. Many applications are built on these operations such as advanced robotics and human computer interaction. This paper aims at proposing a framework f...
متن کامل