Instead of recognizing the motion, this study examines the possibility of identifying the transition between gaits to achieve in-time detection. This study used the data from IMU sensors for future mobile applications. Furthermore, we tested using two machine learning networks: a linearfFeedforward...
Human detection and Tracking Introduction In this project we have worked on the problem of human detection,face detection, face recognition and tracking an individual. Our project is capable of detecting a human and its face in a given video and storing Local Binary Pattern Histogram (LBPH) featu...
While active efforts are advancing medical artificial intelligence (AI) model development and clinical translation, safety issues of the AI models emerge, but little research has been done. We perform a study to investigate the behaviors of an AI diagnos
These two models were fused to create a multi-saliency map, and both characteristics were used simultaneously to improve detection rates. To handle problems such as asymmetry, a rotation matrix was calculated around the center, and Histogram of Oriented Gradient (HOG) features descriptor were ...
or using interpolated results for smooth video processing by separating detection and drawing loops: consthuman=newHuman();// create instance of HumanconstinputVideo=document.getElementById('video-id');constoutputCanvas=document.getElementById('canvas-id');letresult;asyncfunctiondetectVideo(){result=...
Human learners can generalize a new concept from a small number of samples. In contrast, conventional machine learning methods require large amounts of data to address the same types of problems. Humans have cognitive biases that promote fast learning. H
Machine learning-based ship detection and tracking using satellite images for maritime surveillance The recent advancement in remote sensing technologies has resulted in the availability of different imaging modes and higher resolution satellite images. A... Y Wang,G Rajesh,XM Raajini,... - 《Journal...
We could also achieve more than 94% accuracy in classifying the direction, speed and distance and idengifying subjects using the reduced feature set extracted from two pairs of PIR sensors of each of the three modules. 展开 关键词: pyroelectric infrared sensor human movement detection human id...
Detecting deception by categorizing verbal/non-verbal cues using machine learning techniques has been the main stream approach in the field. We investigate deception detection methods that work on communication content in a written format. In this work, we propose that verbal/nonverbal cues are ...
Using Machine Learning Multiclass Classification Technique to Detect IoT Attacks in Real Time This paper presents a real-time intrusion detection system (IDS) aimed at detecting the Internet of Things (IoT) attacks using multiclass classification mo... A Alrefaei,M Ilyas - 《Sensors》 被引量: ...