Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
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Updated
Oct 18, 2022 - Python
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
A python implementation of a simple yet effective algorithm for detecting humans in low-res thermal images that are usually captured using FLIR cameras such as FLIR Lepton and FLIR One.
Real-time human detection and tracking camera using YOLOV5 and Arduino
A YOLO v8 model detecting humans in thermal imaging
AI and ML Based Python Models for Human,Object Detection
This figure illustrates the advanced, five-stage data processing pipeline of the Advanced Falling Object Detection System (AFODS), as described in the accompanying manuscript. The flowchart details the sequential process designed for proactive threat detection, moving from initial sensor data acquisition to the final decision and action stage.
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