HOI-DETR is a transformer-based framework for detecting hands, hand-held objects, and their interactions in images and video. Built on the Co-DETR architecture, it adds a lightweight interaction ...
The raw data are stored as 16-bit TIFF (*.tif) files, with each file containing a sequence of auroral images acquired at a cadence determined by the camera exposure settings. For each hour of ...
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 ...
Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
Abstract: We estimated the moisture content in Tomato (Solanum Lycopersicum) leaves by using the Color Extraction Algorithm and the kurtosis value of the leaves from the grayscale histogram. An ...
A real-time face recognition system is capable of identifying or verifying a person from a video frame. To recognize the face in a frame, first, you need to detect whether the face is present in the ...
Abstract: Real-Time Sign Language Recognition (RTSLG) can help people express clearer thoughts, speak in shorter sentences, and be more expressive to use declarative language. Hand gestures provide a ...
Image registration overlays images from different sources taken at various times and angles. The process involves establishing correspondence between images to align them spatially. It is crucial in ...
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