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Human–object interaction detection with missing objects
Image and Vision Computing, 2021Existing studies on human-object interaction (HOI) assume that human and object instances can be detected. This paper proposes a more practical HOI detection method for when object instances are not necessarily easily detectable. To our knowledge, we introduce the first method for such challenging HOI detection that incorporates global scene ...
Kaen Kogashi +3 more
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2009 Third International Conference on Advanced Engineering Computing and Applications in Sciences, 2009
Given a rectangle with emitters and receivers on its perimeter, one can detect objects in it by determining which of the line segments between emitters and receivers are blocked by objects. The problem of object detection can be formulated as the problem of finding all non-empty n-wedge intersections, where a wedge is defined by a consecutive set of ...
Jovanovic, N. +2 more
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Given a rectangle with emitters and receivers on its perimeter, one can detect objects in it by determining which of the line segments between emitters and receivers are blocked by objects. The problem of object detection can be formulated as the problem of finding all non-empty n-wedge intersections, where a wedge is defined by a consecutive set of ...
Jovanovic, N. +2 more
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International Journal of Computer Vision, 1990
The detection of moving objects is important in many tasks. This paper examines moving object detection based primarily on optical flow. We conclude that in realistic situations, detection using visual information alone is quite difficult, particularly when the camera may also be moving.
Thompson, W., Pong, Ting Chuen
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The detection of moving objects is important in many tasks. This paper examines moving object detection based primarily on optical flow. We conclude that in realistic situations, detection using visual information alone is quite difficult, particularly when the camera may also be moving.
Thompson, W., Pong, Ting Chuen
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Ear and Hearing, 1993
Evoked potential threshold estimation can be made truly objective by using statistically based methods. In general, time domain analysis is preferable for responses which are impulsive (temporally narrow, spectrally broad), whereas frequency-domain analysis is more appropriate for tonal responses (spectrally narrow, temporally broad).
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Evoked potential threshold estimation can be made truly objective by using statistically based methods. In general, time domain analysis is preferable for responses which are impulsive (temporally narrow, spectrally broad), whereas frequency-domain analysis is more appropriate for tonal responses (spectrally narrow, temporally broad).
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Object occlusion and object removal detection
SPIE Proceedings, 2013In general, there have methods to detect object removal event, but when people blocking the object an object, it is possible detect the event as removed. Thus, if we can make the system can classify between occlusion event and removal event, this can increase the accuracy and performance of the system. In this paper, we present a method that can detect
Yung Joon Chai +2 more
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2012
In this paper we introduce a new problem which we call object co-detection. Given a set of images with objects observed from two or multiple images, the goal of co-detection is to detect the objects, establish the identity of individual object instance, as well as estimate the viewpoint transformation of corresponding object instances.
Sid Ying-Ze Bao +2 more
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In this paper we introduce a new problem which we call object co-detection. Given a set of images with objects observed from two or multiple images, the goal of co-detection is to detect the objects, establish the identity of individual object instance, as well as estimate the viewpoint transformation of corresponding object instances.
Sid Ying-Ze Bao +2 more
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Towards Dependable Object Detection
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020A high confidence in object detection is very crucial for object detector modules to be used in real world applications. Though the confidence scores in object detection can be improved by using better and larger training data set and using more robust architectures, which is an approach from the computer vision side, this paper aims to improve the ...
Nithish Muthuchamy Selvaraj +2 more
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ACM Computing Surveys, 2013
Object class detection, also known as category-level object detection, has become one of the most focused areas in computer vision in the new century. This article attempts to provide a comprehensive survey of the recent technical achievements in this area of research.
Yee-Hong Yang
exaly +2 more sources
Object class detection, also known as category-level object detection, has become one of the most focused areas in computer vision in the new century. This article attempts to provide a comprehensive survey of the recent technical achievements in this area of research.
Yee-Hong Yang
exaly +2 more sources
2022 26th International Conference on System Theory, Control and Computing (ICSTCC), 2022
Andrei-Stefan Bulzan +1 more
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Andrei-Stefan Bulzan +1 more
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A Trainable System for Object Detection
International Journal of Computer Vision, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Constantine Papageorgiou +1 more
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