Results 221 to 230 of about 747,764 (277)

Multiple instances object detection

Proceedings of the 30th Spring Conference on Computer Graphics, 2014
Since the beginning of the new century the growing popularity of markerless augmented reality (AR) applications inspired the research in the area of object instance detection, registration and tracking. The usage of common daily objects or specially developed fliers or magazines (e.g.
Zuzana Haladová, Elena Šikudová
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Object detection with multiple cameras

Workshop on Motion and Video Computing, 2002. Proceedings., 2003
The paper presents an algorithm for detecting objects from multiple cameras. The algorithm (1) minimizes the effect of shadows, (2) detects and solves occlusion and (3) fuses objects that are detected in more than one camera. The algorithm was developed as part of SORTTS (soccer real-time tracking system), a tracking system based on a set of video ...
B.M. Junior, R. de Oliveira Anido
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Multiple Objects Detection using HSV

NAECON 2018 - IEEE National Aerospace and Electronics Conference, 2018
In this research detection and differentiation between multiple objects is done in real time. Images were captured using SainSmart wide angle camera and image processing was done using Raspberry Pi 3 Model B. Optimization was accomplished by increasing the number of threads being managed within the algorithm.
Kayla Cameron, Md Shafiul Islam
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Salient Object Detection via Multiple Instance Learning

IEEE Transactions on Image Processing, 2017
Object proposals are a series of candidate segments containing objects of interest, which are taken as preprocessing and widely applied in various vision tasks. However, most of existing saliency approaches only utilize the proposals to compute a location prior.
Fang Huang, Jinqing Qi, Huchuan Lu, Lihe Zhang, Xiang Ruan   +4 more
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Multiple Instance Differentiation Learning for Active Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Despite the substantial progress of active learning for image recognition, there lacks a systematic investigation of instance-level active learning for object detection. In this paper, we propose to unify instance uncertainty calculation with image uncertainty estimation for informative image selection, creating a multiple instance differentiation ...
Fang Wan, Qixiang Ye, Tianning Yuan, Songcen Xu, Jianzhuang Liu, Xiangyang Ji, Qingming Huang   +6 more
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Image saliency detection for multiple objects

Multimedia Tools and Applications, 2018
Traditional saliency detection methods are designed only for a single salient object and cannot detect multiple salient objects in the image. This paper proposes a novel method for detecting multiple salient objects in the image, which is based on both objectness estimation method and superpixel segmentation method.
Beilei Wang, Lu Meng, Jie Song
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