Results 271 to 280 of about 1,393,311 (289)

Accelerating Video Object Detection by Exploiting Prior Object Locations

2022
We provide a set of generic modifications to improve the execution efficiency of single-shot object detectors by exploiting prior object locations in video sequences. We propose a crop-based method to accelerate object detection tasks. It dynamically generates crop regions based on prior information and exploits scene sparsity enabling focused use of ...
Berk Ulker, Sander Stuijk, Henk Corporaal, Rob G. J. Wijnhoven   +3 more
openaire   +2 more sources

Effect of Using Object Shape Prior on Visual Object Counting

2018 IEEE Visual Communications and Image Processing (VCIP), 2018
Visual object counting aims to count the number of objects in a given image or video. Among many object counting methods, the counting by density estimation method draws attention because of its capability of counting and its object localization ability. The method utilizes the object density map of the image with multiple objects.
Minki Jeong, Changick Kim
openaire   +1 more source

Object-Level Priors for Stixel Generation

2014
This paper presents a stereo vision-based scene model for traffic scenarios. Our approach effectively couples bottom-up image segmentation with object-level knowledge in a sound probabilistic fashion. The relevant scene structure, i.e. obstacles and freespace, is encoded using individual Stixels as building blocks that are computed bottom-up from dense
Marius Cordts, Lukas Schneider, Markus Enzweiler, Uwe Franke, Stefan Roth   +4 more
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Focus prior estimation for salient object detection

2017 IEEE International Conference on Image Processing (ICIP), 2017
In the past five years, salient object detection has become one of the hot topics in the field of computer vision. Focus is a naturally strong indicator for the salient object detection task, but is not well studied. In this paper, a novel method is proposed to estimate the focus prior map for an arbitrary image. Different from the current edge density
Xiaoli Sun, Xiujun Zhang, Wenbin Zou, Chen Xu 0004   +3 more
openaire   +1 more source

Background priors based saliency object detection

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016
Saliency object detection is the key process of identifying the location of the object. It has been widely used in numerous applications, including object recognition, image segmentation, video summarization and so on. In this paper, we proposed a saliency object detection approach based on the background priors.
Zexia Liu, Guanghua Gu, Chunxia Chen, Dong Cui, Chunyu Lin   +4 more
openaire   +1 more source

Objective and subjective foundations for multiple priors

Journal of Economic Theory, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An objective prior for hyperparameters in normal hierarchical models

Journal of Multivariate Analysis, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James O. Berger, Dongchu Sun, Chengyuan Song   +2 more
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Object Loss Prior to Medical Admissions in Japan

Psychosomatics, 1969
• Numerous studies have suggested that object loss is a frequent and important precipitating event prior to the onset of medical illnesses. 2 7 The range of medical illnesses where such findings have been desoribed is so diverse that George Engel has asked, "Is Grief A Disease?"!
J, Yamamoto, K, Okonogi, T, Iwasaki
openaire   +2 more sources

Hedgehog Shape Priors for Multi-Object Segmentation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Star-convexity prior is popular for interactive single object segmentation due to its simplicity and amenability to binary graph cut optimization. We propose a more general multi-object segmentation approach. Moreover, each object can be constrained by a more descriptive shape prior, "hedgehog".
Hossam N. Isack, Olga Veksler, Milan Sonka, Yuri Boykov   +3 more
openaire   +1 more source

Saliency object detection: integrating reconstruction and prior

Machine Vision and Applications, 2018
To remedy some challenging cases in saliency detection such as complex background and multiple objects. A new saliency object detection approach is proposed via integrating reconstruction and prior knowledge. This paper first segments each image into super pixels using over-segmentation algorithm.
Cuiping Li 0003, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu   +3 more
openaire   +1 more source