Search Results for author:
Found 10 papers, 3 papers with code
Gait analysis with curvature maps: A simulation study
Gait analysis is an important aspect of clinical investigation for detecting neurological and musculoskeletal disorders and assessing the global health of a patient.
Estimating skeleton-based gait abnormality index by sparse deep auto-encoder
This paper proposes an approach estimating a gait abnormality index based on skeletal information provided by a depth camera.
Assessment of gait normality using a depth camera and mirrors
These two features are processed on a sequence of enhanced depth maps with the support of a sliding window to provide two corresponding scores.
Skeleton-based Gait Index Estimation with LSTMs
In this paper, we propose a method that estimates a gait index for a sequence of skeletons.
Matching-based Depth Camera and Mirrors for 3D Reconstruction
Reconstructing 3D object models is playing an important role in many applications in the field of computer vision.
Hybrid Deep Network for Anomaly Detection
In this paper, we propose a deep convolutional neural network (CNN) for anomaly detection in surveillance videos.
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
The training stage is performed using only videos of normal events and the model is then capable to estimate frame-level scores for an unknown input.
Ranked #20 on
Anomaly Detection
on CUHK Avenue
Human Gait Symmetry Assessment using a Depth Camera and Mirrors
The input of our system is a sequence of 3D point clouds which are formed from a setup including a Time-of-Flight (ToF) depth camera and two mirrors.
Applying Adversarial Auto-encoder for Estimating Human Walking Gait Abnormality Index
This paper proposes an approach that estimates human walking gait quality index using an adversarial auto-encoder (AAE), i. e. a combination of auto-encoder and generative adversarial network (GAN).
Comparative study of motion detection methods for video surveillance systems
The objective of this study is to compare several change detection methods for a mono static camera and identify the best method for different complex environments and backgrounds in indoor and outdoor scenes.
