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» Pedestrian Detection: A Benchmark
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CVIU
2010
429views more  CVIU 2010»
13 years 8 months ago
Cascade of descriptors to detect and track objects across any network of cameras
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
Alexandre Alahi, Pierre Vandergheynst, Michel Bier...

Publication
353views
13 years 9 months ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
JORS
2010
134views more  JORS 2010»
13 years 3 months ago
An overview and framework for PD backtesting and benchmarking
In order to manage model risk, financial institutions need to set up validation processes so as to monitor the quality of the models on an ongoing basis. Validation can be conside...
G. Castermans, David Martens, Tony Van Gestel, B. ...
CONEXT
2010
ACM
13 years 6 months ago
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult due to the lack of ground truth. The goal of the present article is to assist rese...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...

Publication
262views
15 years 28 days ago
Attribute Multiset Grammars for Global Explanations of Activities
Recognizing multiple interleaved activities in a video requires implicitly partitioning the detections for each activity. Furthermore, constraints between activities are important ...
Dima Damen, David Hogg