articleTop 1% cited
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Neurocomputing · 2018 · Vol. 300 · pp. 17–33
Antonio Brunetti(Polytechnic University of Bari)Domenico Buongiorno(Polytechnic University of Bari)Gianpaolo Francesco Trotta(Polytechnic University of Bari)Vitoantonio Bevilacqua✉(Polytechnic University of Bari)
Video Surveillance and Tracking MethodsAnomaly Detection Techniques and ApplicationsFire Detection and Safety SystemsComputer scienceArtificial intelligencePedestrian detectionPedestrianConvolutional neural networkDeep learningField (mathematics)Machine learningRobustness (evolution)Robotics
Citations
530
FWCI
22.34
field-weighted impact
References
323
Percentile
99%
vs. same field & year
Citations per year
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References
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Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
The Annals of Statistics · 2000 · 6,881 citations
Pedestrian Detection: An Evaluation of the State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2011 · 3,229 citations
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
Pedestrian Protection Systems: Issues, Survey, and Challenges
IEEE Transactions on Intelligent Transportation Systems · 2007 · 536 citations
A theory for multiresolution signal decomposition: the wavelet representation
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1989 · 20,882 citations
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