motiondetecting
Motion detecting refers to techniques and devices that identify movement within a scene over time. In video and sensor data, it aims to determine when objects or the scene itself changes position or configuration.
In video streams, common approaches include frame differencing, background subtraction (such as Gaussian Mixture Models and
More recent methods use machine learning, including convolutional neural networks and transformer-based models, to detect moving
Sensors used for motion detecting include visual cameras, infrared and thermal cameras, radar, and acoustic sensors.
Applications cover security and surveillance, smart home automation, robotics and autonomous systems, traffic monitoring, and wildlife
Challenges include changing illumination, weather, dynamic backgrounds such as trees in wind, camera jitter, occlusions, and
Historically, non-visual motion detectors used infrared or microwave sensors; video-based techniques emerged in the late 20th
Performance is assessed by metrics such as true positive rate, false positive rate, precision, recall, and latency,