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Crowd analysis in non-static cameras using feature tracking and multi-person density.

, , , and . ICIP, page 6041-6045. IEEE, (2014)

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A local feature based on lagrangian measures for violent video classification., , and . ICDP, page 1-6. IET / IEEE, (2015)Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data., , , and . AVSS, page 1-5. IEEE Computer Society, (2017)High-Speed tracking-by-detection without using image information., , and . AVSS, page 1-6. IEEE Computer Society, (2017)Motion modeling for motion vector coding in HEVC., , and . PCS, page 154-158. IEEE, (2015)Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme., , and . AVSS, page 1-6. IEEE Computer Society, (2017)Deep Active Learning for In Situ Plankton Classification., , , , , and . CVAUI/IWCF/MIPPSNA@ICPR, volume 11188 of Lecture Notes in Computer Science, page 5-15. Springer, (2018)Robust Local Optical Flow for Feature Tracking., , and . IEEE Trans. Circuits Syst. Video Techn., 22 (9): 1377-1387 (2012)Efficient real-time local optical flow estimation by means of integral projections., , , and . ICIP, page 2345-2348. IEEE, (2011)Multi-Sensor Data Annotation Using Sequence-based Active Learning., , , , , and . IROS, page 258-263. IEEE, (2022)Training a convolutional neural network for multi-class object detection using solely virtual world data., , and . AVSS, page 278-285. IEEE Computer Society, (2016)