Results 1 to 10 of about 1,525,375 (256)
IOD-CNN: Integrating Object Detection Networks for Event Recognition [PDF]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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