9 papers
Gait analysis with curvature maps: A simulation study
Khac Chinh Tran, Marc Daniel, Jean Meunier
Gait analysis is an important aspect of clinical investigation for detecting neurological and musculoskeletal disorders and assessing the global health of a patient. In this paper…
Assessment of gait normality using a depth camera and mirrors
Trong Nguyen Nguyen, Huu Hung Huynh, Jean Meunier
This paper presents an initial work on assessment of gait normality in which the human body motion is represented by a sequence of enhanced depth maps. The input data is provided b…
Skeleton-based Gait Index Estimation with LSTMs
Trong Nguyen Nguyen, Huu Hung Huynh, Jean Meunier
In this paper, we propose a method that estimates a gait index for a sequence of skeletons. Our system is a stack of an encoder and a decoder that are formed by Long Short-Term Mem…
Estimating skeleton-based gait abnormality index by sparse deep auto-encoder
Trong Nguyen Nguyen, Huu Hung Huynh, Jean Meunier
This paper proposes an approach estimating a gait abnormality index based on skeletal information provided by a depth camera. Differently from related works where the extraction of…
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong Nguyen Nguyen, Jean Meunier
Anomaly detection in surveillance videos is currently a challenge because of the diversity of possible events. We propose a deep convolutional neural network (CNN) that addresses t…
Hybrid Deep Network for Anomaly Detection
Trong Nguyen Nguyen, Jean Meunier
In this paper, we propose a deep convolutional neural network (CNN) for anomaly detection in surveillance videos. The model is adapted from a typical auto-encoder working on video…