Results 41 to 50 of about 103,551 (264)

An Automated Approach for Classification of Action and Dialogue Video with Tagging

Pakistan Journal of Engineering & Technology, 2020
Today data is not only constrained to text format; it has been expanded to multi-media data as well. As compared to audio and images, video data needs an attention, due to ever increasing size of videos and their massive storage size.
Rida Shifa, Akmal Shahbaz
doaj   +5 more sources

Nonrigid Optical Flow Ground Truth for Real-World Scenes with Time-Varying Shading Effects

, 2016
In this paper we present a dense ground truth dataset of nonrigidly deforming real-world scenes. Our dataset contains both long and short video sequences, and enables the quantitatively evaluation for RGB based tracking and registration methods.
Brown, Matthew, Cosker, Darren, Li, Wenbin, Lv, Zhihan   +3 more
core   +1 more source

Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor [PDF]

, 2017
We investigate video classification via a two-stream convolutional neural network (CNN) design that directly ingests information extracted from compressed video bitstreams.
Abbas, Alhabib, Andreopoulos, Yiannis, Chadha, Aaron   +2 more
core   +2 more sources

3D+T DENSE MOTION TRAJECTORIES AS KINEMATICS PRIMITIVES TO RECOGNIZE GESTURES ON DEPTH VIDEO SEQUENCES

Revista Politécnica, 2019
RGB-D sensors have allowed attacking many classical problems in computer vision such as segmentation, scene representations and human interaction, among many others.
Fabián Castillo, Lola Bautista, Fabio Martínez   +2 more
doaj   +1 more source

RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System

, 2017
Simultaneous Localization and Mapping using RGB-D cameras has been a fertile research topic in the latest decade, due to the suitability of such sensors for indoor robotics.
Civera, Javier, Concha, Alejo
core   +1 more source

Salient Object Detection in RGB-D Videos

IEEE Transactions on Image Processing
IEEE TIP (under major revision)
Ao Mou, Yukang Lu, Jiahao He, Dingyao Min, Keren Fu, Qijun Zhao   +5 more
openaire   +3 more sources

Spatiotemporal Relation Networks for Video Action Recognition

IEEE Access, 2019
Two-stream convolutional networks have shown strong performance in a video action recognition task for its ability to capture spatial and temporal features simultaneously.
Zheng Liu, Haifeng Hu
doaj   +1 more source

Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn

, 2017
This paper presents an image classification based approach for skeleton-based video action recognition problem. Firstly, A dataset independent translation-scale invariant image mapping method is proposed, which transformes the skeleton videos to colour ...
Chen, Yucheng, Cheng, Xuelian, Dai, Yuchao, He, Mingyi, Li, Bo   +4 more
core   +1 more source

Fast depth edge detection and edge based RGB-D SLAM [PDF]

, 2016
This paper presents a method of occluding depth edge-detection targeted towards RGB-D video streams and explores the use of these and other edge features in RGB-D SLAM.
Bose, L., Richards, A.
core   +2 more sources

Depth-adaptive supervoxels for RGB-D video segmentation [PDF]

2013 IEEE International Conference on Image Processing, 2013
In this paper we present a method for automatic video segmentation of RGB-D video streams provided by combined colour and depth sensors like the Microsoft Kinect. To this end, we combine position and normal information from the depth sensor with colour information to compute temporally stable, depth-adaptive superpixels and combine them into a graph of
Weikersdorfer, D., Schick, Alexander, Cremers, D.   +2 more
openaire   +1 more source