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20182021
most citedComparative study of motion detection methods for video surveillance systems

44 citations · 128 across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.CV2021

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…

cs.CV2019★ 8 cited

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…

cs.CV2019★ 9 cited

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…

cs.CV2019★ 15 cited

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…

cs.CV2019★ 1 cited

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…

cs.CV2019★ 26 cited

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…

cs.CV2019★ 7 cited

Human Gait Symmetry Assessment using a Depth Camera and Mirrors

Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier

This paper proposes a reliable approach for human gait symmetry assessment using a depth camera and two mirrors. The input of our system is a sequence of 3D point clouds which are…

cs.CV2019★ 18 cited

Applying Adversarial Auto-encoder for Estimating Human Walking Gait Abnormality Index

Trong-Nguyen Nguyen, Jean Meunier

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 adversari…

cs.CV2018★ 44 cited

Comparative study of motion detection methods for video surveillance systems

Kamal Sehairi, Chouireb Fatima, Jean Meunier

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…