This article proposes a method to split the sequence in temporal segments in which the object-camera orientation is either constant or changing. Then, a key ...
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This article proposes a method to split the sequence in temporal segments in which the object-camera orientation is either constant or changing. Then, a key ...
Jul 11, 2019 · What I'd like to know is this: Do any techniques exist for machine learning systems to classify objects based on how they move? Examples:.
Oct 13, 2019 · I want to make object detection and motion classification like amazon go, i have read lot of research like object detection with SSD or YOLO and video ...
Sep 9, 2024 · The focus of this research is to use accelerometer and gyroscope data as the input to machine learning models to accurately classify data points ...
Apr 20, 2017 · Object-based classification: Classification is done on a localized group of pixels, taking into account the spatial properties of each pixel as ...
Moving objects multi-classification based on information fusion
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This paper aims to present a new model for multi-classification in video surveillance, based on data fusion. First, features are extracted.
Discover how multi-resolution object-based classification methods using UAVs and high-resolution imagery can accurately group urban environments.
This paper presents an object-based scene segmentation algorithm which combines the temporal information (e.g. motion) from video and image cues from ...
Here we propose an approach for real-time classification of fast-moving objects without image acquisition.