Spatio-Temporal Skin and Edge Detection
Spatio-Temporal Object Detection Proposals
... Abstract. Spatio-temporal detection of actions and events in video is a challeng- ing ...for detection in video is the size of the search space defined by spatio-temporal tubes ...
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A Spatio-Temporal Data Imputation Model for Supporting Analytics at the Edge
... Abstract. Current applications developed for the Internet of Things (IoT) usually involve the processing of collected data for delivering ana- lytics and support efficient decision making. The basis for any processing ...
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A Spatio-Temporal Data Imputation Model for Supporting Analytics at the Edge
... scale data storage in Cloud is studied by [4], where a review of acquisition, man- agement, processing and mining of IoT big data is also presented. The authors of [8] discuss a comparison of Edge computing ...
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Spatio-Temporal Outlier Detection in Large Databases
... tect spatio-temporal outliers in large ...checking temporal neighbors to identify spatio-temporal ...when spatio-temporal outliers need to be ...
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A Survey On Outlier Detection Methods In Spatio-Temporal Datasets
... Keywords—spatio temporal data, outlier ...Outlier detection is a emerging field, which has lot of significance due to the increasing amount of spatio- temporal data available, and the ...
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Anomaly detection with a spatio-temporal tracking of the laser spot
... a Department of Artificial Intelligence, Technical University of Madrid, Spain b IKERGUNE A.I.E, Elgoibar, Spain Abstract. Anomaly detection is an important problem with many applications in industry. This paper ...
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An Adaptive Edge Detection for Mycosis Fungoides Skin Disease
... ABSTRACT Edge is an important feature of an image and provides important image information that can be used for image ...of edge detection have been ...adaptive edge detection to ...
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Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection
... Abstract—We present a block-wise approach to detect station- ary objects based on spatio-temporal change detection. First, block candidates are extracted by filtering out consecutive blocks ...
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Traffic occurrence detection using spatio temporal data mining
... and temporal information are measured to identify the possible ...and temporal information are measured to discover the probable ...occurrence detection using spatio temporal data ...
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Spatio temporal Bayesian on line changepoint detection with model selection
... Changepoint Detection (BOCPD) to multiple models by generalizing Fearnhead & Liu (2007) and Adams & MacKay (2007), arriving at ...to spatio-temporal in- ...
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Extracting Spatio-temporal Texture Signatures for Crowd Abnormality Detection
... Fig. 4. Normality and Abnormality in STT Figure 5 exhibits a result comparison between three different videos. All three videos are obtained from UMN dataset. The videos are recorded in different indoor and outdoor ...
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On Spatio-Temporal Saliency Detection in Videos using Multilinear PCA
... a spatio-temporal saliency model based on information ...and temporal domain, and fused the two maps to get the final spatio-temporal saliency ...region detection method based on ...
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Spatio - Temporal Video Denoising by Block - Based Motion detection
... or temporal correlation may be incorporated into the algorithms by motion estimation/compensation techniques [6] or simple pixel based motion detection and performing some special operation in case of ...
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Spatio-temporal human action detection and instance segmentation in videos
... action detection consists in classifying actions present in a video, such as “clapping”, “running”, and simultaneously predicting the spatial and temporal extents of these ...action detection at the ...
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Violence detection based on spatio-temporal feature and fisher vector
... local spatio-temporal features and a Bag-of-Words (BoW) model is proposed for violence ...violence detection is ...violence detection in both crowd scenes and non-crowd ...
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A Spatio-Temporal Entropy-based Framework for the Detection of Trajectories Similarity
... a spatio-temporal framework, so-called STE-SD (Spatio-Temporal Entropy for Similarity Detection), based on the initial concept of entropy as introduced by Shannon in his seminal theory ...
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TweeProfiles2: real time detection of spatio-temporal patterns in Twitter
... Finally, in [Lee12] a tool is described that performs multi-dimensional clustering (spatial, temporal and textual) over Twitter data. The aim of the tool is to detect events in real-time; an event is considered to ...
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Micro-facial movement detection using spatio-temporal features
... The research interest for this work is detecting micro-facial movements. Cur- rent literature has focused on two interpretations of this problem, the first being micro-expression recognition, where machine learning is ...
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Spatio-temporal patterns of faunal distribution along a near-pristine estuarine edge environment
... While there was an obvious temporal response to tidal changes, site-specific habitat characteristics also influenced nekton distribution along the bank. The greatest max. N values were observed at two hot spot ...
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Effective crowd anomaly detection through spatio temporal texture analysis
... the detection of an individual behavior, or more specifically, actions, among other crowd entities becomes a focus, and poses a challen- ging question, especially when crowd density is ...
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