In our research we compare various neural network architectures that are used for object detection and recognition. In this work vehicles and pedestrians are considered objects of interest. Modern artificial neural ne...
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ISBN:
(纸本)9781728117393
In our research we compare various neural network architectures that are used for object detection and recognition. In this work vehicles and pedestrians are considered objects of interest. Modern artificial neural networks are able to detect and localize objects of known classes. this allows them to be used in various technical vision systems and video analysis systems. In this paper we compare three architectures (YOLO, Faster R-CNN, SSD) by the following criteria: processing speed, mAP, precision and recall.
Data is being generated very rapidly and at very high magnitudes. this data, termed as 'Big Data has found its use in many fields. the aim of this paper is to discuss the challenges posed by Big Data analysis and ...
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ISBN:
(纸本)9781538617199
Data is being generated very rapidly and at very high magnitudes. this data, termed as 'Big Data has found its use in many fields. the aim of this paper is to discuss the challenges posed by Big Data analysis and the techniques that can he used to solve these challenges. One of the most efficient techniques used to do so is Deep Learning. this paper also focuses on the models that have been implemented for big data analysis with deep learning and its applications.
Adaptive Histogram Equalization(AHE) is a popular and effective algorithm for image contrast *** it's quite computationally expensive and time *** this paper,a fast implementation of AHE based on pure software tec...
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ISBN:
(纸本)0780397371
Adaptive Histogram Equalization(AHE) is a popular and effective algorithm for image contrast *** it's quite computationally expensive and time *** this paper,a fast implementation of AHE based on pure software techniques is *** accelerative techniques are combined to form the new fast AHE:First,local histogram is acquired by an iterative approach with a sliding window;Second,in computing cumulative histogram function,not more than half of the histogram is cumulated;third,by keep the block size W2 equal to the product of grey level number and integral power of 2,all the multiplication and division operations are replaced with fast bitwise *** theoretical analysis and experimental results demonstrate the proposed algorithm is effective.
Several novel portable and wearable form factors have been prototyped at IBM over the last eight years. Each of the different form factors has some unique advantages and addresses different user needs this invited pap...
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ISBN:
(纸本)0769524206
Several novel portable and wearable form factors have been prototyped at IBM over the last eight years. Each of the different form factors has some unique advantages and addresses different user needs this invited paper will present our experience building these prototypes and describe how improvements in technology have advanced our prototypes over time. Recently we have been investigating the middleware necessary to use a collection of devices symbiotically to address some of the limitations of each form factor. Drawbacks of some form factors include battery, small screen size, limited bandwidth and limited user interface capability. However form factors with such limitations also typically come with several advantages, i.e., they are always with you and provide a private display and a trusted platform. the paper will sketch a few applications that could use devices symbiotically and outline some of the challenges that need to be overcome to enable this symbiosis.
Inferring regular language and the corresponding finite automaton from the given set of samples (both positive and negative) is an important task in grammatical inference theory. the corresponding underlying automaton...
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Studies have shown that the formation of emotion as self-awareness and cognitive appraisal process is complicated and can lead to idiosyncratic differences. Subject's self emotion evaluation process could be biase...
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ISBN:
(纸本)9781728138886
Studies have shown that the formation of emotion as self-awareness and cognitive appraisal process is complicated and can lead to idiosyncratic differences. Subject's self emotion evaluation process could be biased due to factors of environment, personal experience, and one's own cognitive ability, and the true affective state may be neglected (un-noticeable) due to an unconscious mental process. In this work, we present a comprehensive study to investigate the emotion recognition accuracy obtained using physiology with respect to different annotation schemes, i.e., intended, self-reported, and observed emotion labels. We found that when performing recognition across these three different labeling schemes using the same physiological parameters, the accuracy of the self-reported emotion labels results in about 10.3% and 3.1% drop when compared to two other annotation schemes. It indicates that self-assessed emotion labels may be noisier and induces a larger mismatch with respect to the affect-stimulated physiological responses. Further analysis shows that the electrodermal activity signal has the highest recognition rate with respect to the intended emotion of the stimuli. Finally, our error analysis reveals that there may exist a bias in the self-annotated label that is conditioned on the intended stimuli's valence polarity.
In this paper the author describes a new method, called string distance measurement (SDM), for recognizing handwritten characters. the advantage of this technique is that it can be applied in a generic manner to diffe...
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In order to realize automatic recognition of surgical processes in surgical brain tumor removal using microscopic camera, we propose a method of detecting and tracking surgical tools by video analysis. the proposed me...
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ISBN:
(纸本)9789897583513
In order to realize automatic recognition of surgical processes in surgical brain tumor removal using microscopic camera, we propose a method of detecting and tracking surgical tools by video analysis. the proposed method consists of a detection part and tracking part. In the detection part, object detection is performed for each frame of surgery video, and the category and bounding box are acquired frame by frame. the convolution layer strengthens the robustness using data augmentation (central cropping and random erasing). the tracking part uses SORT, which predicts and updates the acquired bounding box corrected by using Kalman Filter;next, the object ID is assigned to each corrected bounding box using the Hungarian algorithm. the accuracy of our proposed method is very high as follows. As a result of experiments on spatial detection. the mean average precision is 90.58%. the mean accuracy of frame label detection is 96.58%. these results are very promising for surgical phase recognition.
Touch plays an important role in socio-emotional communication: a loving hug from a spouse, a comforting tap on the back by friend, a push from a stranger convey efficiently an emotion or an intent, specially when com...
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ISBN:
(纸本)9781728138916
Touch plays an important role in socio-emotional communication: a loving hug from a spouse, a comforting tap on the back by friend, a push from a stranger convey efficiently an emotion or an intent, specially when combined with other modalities such as audition and vision. In a parent-child relationship, the frequency of maternal touch is positively correlated to the a child early social development. In addition, Touch occurs frequently in patient care situation: a massage therapy, for instance, reduces chronic pain and alleviates anxiety when properly applied by a nurse. Underexplored by the human-machine-interaction and the affective computing literature, the purpose of this thesis is to integrate the sense of touch into interactive systems. In this paper we introduce a novel data collection framework for social touch and present the social touch recognition pipeline.
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