Results 211 to 220 of about 123,662 (246)
Advanced Science, EarlyView.ABSTRACT Astrocyte reactivity critically shapes neuroinflammatory outcomes after ischemic stroke, yet the upstream regulators governing astrocyte state transitions remain incompletely defined. Here, we identify the immunoproteasome subunit low molecular weight protein 2 (LMP2) as an important modulator of astrocyte functional remodeling following ...
Yanguang Mao +7 more
wiley +1 more source
Towards the ecological automated measurement of joint attention: Development of an interactive eye-tracking battery for joint attention in children with and without autism. [PDF]
Behav Res MethodsYoon CD, Meadan H, Shic F.
europepmc +1 more source
Markerless 3D hand tracking for analysis of pediatric eye-hand coordination. [PDF]
MethodsXRajkumar A +5 more
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Decoding Preschool Social Dynamics: Automated Tracking of Spatial and Temporal Patterns to Investigate Social Interactions and Relationships in Peer Groups. [PDF]
Dev SciMarkova G +5 more
europepmc +1 more source
Worsened multitasking performance with simulated hearing protection correlates with individuals' choice not to "wear" it. [PDF]
Front PsycholWisniewski MG, McClain P, Joyner CN.
europepmc +1 more source
DUSTrack: Semi-automated point tracking in ultrasound videos. [PDF]
Sci RepNamburi P +4 more
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IEEE Signal Processing Letters, 2010
We discuss how a probabilistic interpretation of the output provided by a cascade of boosted classifiers can be exploited for Bayesian tracking in video streams. In particular, real-time face and body detection can be achieved by relying on such a Bayesian framework.
G. Boccignone +3 more
openaire +2 more sources
We discuss how a probabilistic interpretation of the output provided by a cascade of boosted classifiers can be exploited for Bayesian tracking in video streams. In particular, real-time face and body detection can be achieved by relying on such a Bayesian framework.
G. Boccignone +3 more
openaire +2 more sources
Tracking of Objects in Video Sequences
2021The paper considers the issues of trajectory tracking of a large number of objects on video images in modes close to real time. To implement such support, a combination of algorithms based on the YOLO v3 convolutional neural network (CNN), doubly stochastic filters and pseudo-gradient procedures for aligning image fragments is proposed.
Nikita A. Andriyanov +2 more
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Bayesian Tracking for Video Analytics
IEEE Signal Processing Magazine, 2010Visual tracking represents the basic processing step for most video analytics applications where the aim is to automatically understand the actions occurring in a monitored scene. Consequently, the performances of these applications are significantly dependent on the accuracy and robustness of the tracking algorithm.
A. DORE, M. SOTO, REGAZZONI, CARLO
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2008
A new approach of tracking objects in image sequences is proposed, in which tracking is seen as a binary classification problem. For each incoming image frame, a likelihood image for the object is created according to the classification results of pixels by a Adaboost feature classifier.
Jingping Jia, Yanmei Chai, Feizhou Zhang
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A new approach of tracking objects in image sequences is proposed, in which tracking is seen as a binary classification problem. For each incoming image frame, a likelihood image for the object is created according to the classification results of pixels by a Adaboost feature classifier.
Jingping Jia, Yanmei Chai, Feizhou Zhang
openaire +1 more source