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Results 1 - 10
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2,467
A survey on visual surveillance of object motion and behaviors
- IEEE Transactions on Systems, Man and Cybernetics
, 2004
"... Abstract—Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. It has a wide spectrum of promising applications, including access control in special areas, human identification at a distance, crowd flux stat ..."
Abstract
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Cited by 439 (6 self)
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statistics and congestion analysis, detection of anomalous behaviors, and interactive surveillance using multiple cameras, etc. In general, the processing framework of visual surveillance in dynamic scenes includes the following stages: modeling of environments, detection of motion, classification of moving
Incremental Learning for Robust Visual Tracking
, 2008
"... Visual tracking, in essence, deals with nonstationary image streams that change over time. While most existing algorithms are able to track objects well in controlled environments, they usually fail in the presence of significant variation of the object’s appearance or surrounding illumination. On ..."
Abstract
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Cited by 306 (18 self)
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Visual tracking, in essence, deals with nonstationary image streams that change over time. While most existing algorithms are able to track objects well in controlled environments, they usually fail in the presence of significant variation of the object’s appearance or surrounding illumination
A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.
- Proc Natl Acad Sci USA
, 2008
"... Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of larg ..."
Abstract
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Cited by 178 (1 self)
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causality analysis, we show that the rFIC-ACC network, and the rFIC, in particular, plays a critical and causal role in switching between the CEN and the DMN. We replicated this causal connectivity pattern in two additional experiments: (i) a visual attention ''oddball'' task and (ii) a
Modeling Botnet Propagation Using Time Zones
- In Proceedings of the 13 th Network and Distributed System Security Symposium NDSS
, 2006
"... Time zones play an important and unexplored role in malware epidemics. To understand how time and location affect malware spread dynamics, we studied botnets, or large coordinated collections of victim machines (zombies) controlled by attackers. Over a six month period we observed dozens of botnets ..."
Abstract
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Cited by 132 (10 self)
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are not infectious, and any regional bias in infections will affect the overall growth of the botnet. We therefore created a diurnal propagation model. The model uses diurnal shaping functions to capture regional variations in online vulnerable populations. The diurnal model also lets one compare propagation rates
A COMBINED LSTM-RNN- HMM- APPROACH FOR MEETING EVENT SEGMENTATION AND RECOGNITION
"... Automatic segmentation and classification of recorded meetings provides a basis that enables effective browsing and querying in a meeting archive. Yet, robustness of today’s approaches is often not reliable enough. We therefore strive to improve on this task by introduction of a tandem approach comb ..."
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Cited by 1 (1 self)
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combining the discriminative abilities of recurrent neural nets and warping capabilities of hidden markov models. Thereby long short-term memory cells are used for audio-visual frame analysis within the neural net. These help to overcome typical long time lags. Extensive test runs on the public M4 Scripted
Control of Selective Perception Using Bayes Nets and Decision Theory
, 1993
"... A selective vision system sequentially collects evidence to support a specified hypothesis about a scene, as long as the additional evidence is worth the effort of obtaining it. Efficiency comes from processing the scene only where necessary, to the level of detail necessary, and with only the neces ..."
Abstract
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Cited by 116 (2 self)
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vision system uses Bayes nets for representation and benefitcost analysis for control of visual and non-visual actions. It is the high-level control for an active vision system, enabling purposive behavior, the use of qualitative vision modules and a pointable multiresolution sensor. TEA-1 demonstrates
A COMBINED LSTM-RNN- HMM- APPROACH FOR MEETING EVENT SEGMENTATION AND RECOGNITION
"... Automatic segmentation and classification of recorded meetings provides a basis that enables effective browsing and querying in a meeting archive. Yet, robustness of today’s approaches is often not reliable enough. We therefore strive to improve on this task by introduction of a tandem approach comb ..."
Abstract
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combining the discriminative abilities of recurrent neural nets and warping capabilities of hidden markov models. Thereby long short-term memory cells are used for audio-visual frame analysis within the neural net. These help to overcome typical long time lags. Extensive test runs on the public M4 Scripted
Effect of temporal envelope smearing on speech reception.
- International Journal of Bioelectromagnetism
, 2011
"... The effect of smearing the temporal envelope on the speech-reception threshold (SRT) for sentences in noise and on phoneme identification was investigated for normal-hearing listeners. For this purpose, the speech signal was split up into a series of frequency bands (width of The ear's resolut ..."
Abstract
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Cited by 145 (0 self)
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, particularly just before and after periods with a high amplitude. These modified parts sometimes contain amplified quantization noise of high frequencies (not belonging in the frequency band), causing sharp, clicking sounds. To eliminate these, the modified band signal is low-pass filtered, using a FIR filter
An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging
- JOURNAL OF MAGNETIC RESONANCE IMAGING JUNE
, 1999
"... We present a software package which uniquely integrates several facets of image-guided medicine into a single portable, extendable environment. It provides capabilities for automatic registration, semiautomatic segmentation, 3D surface model generation, 3D visualization, and quantitative analysis ..."
Abstract
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Cited by 93 (18 self)
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We present a software package which uniquely integrates several facets of image-guided medicine into a single portable, extendable environment. It provides capabilities for automatic registration, semiautomatic segmentation, 3D surface model generation, 3D visualization, and quantitative analysis
Continuity and discontinuity of behavioral inhibition and exuberance: Psychophysiological and behavioral influences across the first four years of life.
- Child Development,
, 2001
"... Abstract: Four-month-old infants were screened (N = 433) for temperamental patterns thought to predict behavioral inhibition, including motor reactivity and the expression of negative affect. Those selected (N = 153) were assessed at multiple age points across the first 4 years of life for behavior ..."
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Cited by 124 (47 self)
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, p < .001 and p < .01, respectively. In the second cohort, coders used 7-point Likert-type scales to rate the infant's motor, positive, and negative reactions to each of the visual and auditory presentations. Thus, each infant had a total of three ratings on each session (visual 1
Results 1 - 10
of
2,467
