Motion Detection
19 papers with code • 1 benchmarks • 2 datasets
Motion Detection is a process to detect the presence of any moving entity in an area of interest. Motion Detection is of great importance due to its application in various areas such as surveillance and security, smart homes, and health monitoring.
Source: Different Approaches for Human Activity Recognition– A Survey
Benchmarks
These leaderboards are used to track progress in Motion Detection
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nuScenes
KITTI'15 MSplus
Latest papers with no code
TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit
As an inspiration from nature, the avian visual system is capable of processing motion information in various complex aerial scenes, and its Retina-OT-Rt visual circuit is highly sensitive to capturing the motion information of small objects from high altitudes.
Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 2023
To address this issue, we propose a simple yet effective approach called TAP with confident static points (TAPIR+), which focuses on rectifying the tracking of the static point in the videos shot by a static camera.
TDE-3: An improved prior for optical flow computation in spiking neural networks
Using synthetic data we compared training and inference with spike count and ISI with respect to changes in stimuli dynamic range, spatial frequency, and level of noise.
Deep Learning Approaches for Seizure Video Analysis: A Review
Historically, these approaches have been used for disease detection, classification, and prediction using diagnostic data; however, there has been limited exploration of their application in evaluating video-based motion detection in the clinical epileptology setting.
Non-Contact Breathing Rate Detection Using Optical Flow
This paper presents an investigation into a method of non-contact breathing rate detection using a motion detection algorithm, optical flow.
Computational models of object motion detectors accelerated using FPGA technology
This PhD research introduces three key contributions in the domain of object motion detection: Multi-Hierarchical Spiking Neural Network (MHSNN): A specialized four-layer Spiking Neural Network (SNN) architecture inspired by vertebrate retinas.
Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations
In the meanwhile, geometry-based regularizations, such as graph regularizations, can be imposed on the foreground.
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
Objective: This study aims to develop and evaluate a variety of NLP algorithms to extract and categorize physical rehabilitation exercise information from the clinical notes of post-stroke patients treated at the University of Pittsburgh Medical Center.
A large-scale multimodal dataset of human speech recognition
The dataset has been validated and has potential for the research of lip reading and multimodal speech recognition.
Application Of ADNN For Background Subtraction In Smart Surveillance System
Object movement identification is one of the most researched problems in the field of computer vision.
