Results 1 to 10 of about 1,525,375 (256)

IOD-CNN: Integrating Object Detection Networks for Event Recognition [PDF]

open access: yesarXiv, 2017
Many previous methods have showed the importance of considering semantically relevant objects for performing event recognition, yet none of the methods have exploited the power of deep convolutional neural networks to directly integrate relevant object information into a unified network. We present a novel unified deep CNN architecture which integrates
Doermann, David   +3 more
arxiv   +3 more sources

DVS Benchmark Datasets for Object Tracking, Action Recognition and Object Recognition [PDF]

open access: yesFrontiers in Neuroscience, 2016
Frontiers in Neuroscience ...
Yuhuang Hu   +3 more
doaj   +6 more sources

On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities [PDF]

open access: yesarXiv, 2016
Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios. We show that a combination of cues from multiple sensor modalities, including specular reflectance and unavailable depth information, allows us to capture a larger subset of ...
A Blake   +8 more
arxiv   +3 more sources

Multiple Moving Object Recognitions in video based on Log Gabor-PCA Approach [PDF]

open access: yes, 2014
Object recognition in the video sequence or images is one of the sub-field of computer vision. Moving object recognition from a video sequence is an appealing topic with applications in various areas such as airport safety, intrusion surveillance, video monitoring, intelligent highway, etc.
C. Liu   +6 more
arxiv   +3 more sources

Monocular SLAM Supported Object Recognition [PDF]

open access: yesarXiv, 2015
In this work, we develop a monocular SLAM-aware object recognition system that is able to achieve considerably stronger recognition performance, as compared to classical object recognition systems that function on a frame-by-frame basis. By incorporating several key ideas including multi-view object proposals and efficient feature encoding methods, our
Leonard, John, Pillai, Sudeep
arxiv   +6 more sources

ImageNet Large Scale Visual Recognition Challenge [PDF]

open access: yesInternational Journal of Computer Vision, 2015
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and millions of images.
Jia Deng   +2 more
exaly   +5 more sources

Object recognition using shape-from-shading [PDF]

open access: green, 2001
This paper investigates whether surface topography information extracted from intensity images using a recently reported shape-from-shading (SFS) algorithm can be used for the purposes of 3D object recognition.
P.L. Worthington, Edwin R. Hancock
openalex   +4 more sources

The Development of Object Recognition Requires Experience with the Surface Features of Objects [PDF]

open access: yesAnimals
What role does visual experience play in the development of object recognition? Prior controlled-rearing studies suggest that newborn animals require slow and smooth visual experiences to develop object recognition.
Justin Newell Wood   +1 more
doaj   +2 more sources

An Acoustic Object Recognition System [PDF]

open access: greenRadioengineering, 1992
This paper presents the results of a study on use rapid transform to analysis of acoustic echo signals in an acoustic object recognition system. The echo signals are analysed in the time invariant rapid transform domain and compared with reference ...
J. Turan
doaj   +1 more source

A Web Application for Watermark Recognition [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2020
The study of watermarks is a key step for archivists and historians as it enables them to reveal the origin of paper. Although highly practical, automatic watermark recognition comes with many difficulties and is still considered an unsolved challenge ...
Oumayma Bounou   +10 more
doaj   +1 more source

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