Results 251 to 260 of about 21,066 (308)

A counting method of whiteflies on crop leave images captured by AR glasses based on segmentation and improved YOLOv11 models. [PDF]

Front Plant Sci
Zhao S, Lyu J, Liu S, Feng Z, Ling H, Jiao J, Ni Z, Yang B, Yao Q, Luo J.   +9 more
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Rice pest detection via multi-scale edge network and wavelet attention enhancement. [PDF]

Front Plant Sci
Huang X, Zhou R.
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Small target detection of floating objects in river channels based on improved YOLOv7. [PDF]

Sci Rep
Yang W, Zhang B, Guo S, Gao K, Ying J, Zheng J, Li C, Li J, Xu W, Chen Q, Cao J, Zuo Y, Chen Y, Wang W.   +13 more
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Real-time abnormal behaviour detection using energy-efficient YOLO-based framework. [PDF]

Sci Rep
Krishnan SR, Amudha P, Sivakumari S.
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Foreground-focused domain adaption for object detection

2020 25th International Conference on Pattern Recognition (ICPR), 2021
Object detectors suffer from accuracy loss caused by domain shift from a source to a target domain. Unsupervised domain adaptation (UDA) approaches mitigate this loss by training with unlabeled target domain images. A popular processing pipeline applies adversarial training that aligns the distributions of the features from the two domains. We advocate
Yuchen Yang, Nilanjan Ray
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Fractal-based analysis for foreground detection

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
We have developed a fractal-based analysis technique for use with foreground detection. In this technique, a modified form of the box-counting fractal dimension is used to identify meaningful structures when looking at pixels which change between frames in a video sequence.
Daniel Raburn, Edward R. Ratner
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The effect of noise on foreground detection algorithms

Artificial Intelligence Review, 2016
Background segmentation methods are exposed to the effects of different kinds of noise due to the limitations of image acquisition devices. This type of distortion can worsen the performance of segmentation methods because the input pixel values are altered.
Francisco Javier López-Rubio, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Rafael Marcos Luque Baena, Esteban J. Palomo, Enrique Domínguez   +5 more
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Multi-temporal foreground detection in videos

2015 IEEE International Conference on Image Processing (ICIP), 2015
A common task in video processing is the binary separation of a video's content into either background or moving foreground. However, many situations require a foreground analysis with a finer temporal granularity, in particular for objects or people which remain immobile for a certain period of time.
Mariano Tepper, Alasdair Newson, Pablo Sprechmann, Guillermo Sapiro   +3 more
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