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ORCIDChris Poppe
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Publications
- 2012
[j6]Steven Verstockt, Chris Poppe, Sofie Van Hoecke, Charles-Frederik Hollemeersch, Bart Merci, Bart Sette, Peter Lambert
, Rik Van de Walle:
Silhouette-based multi-sensor smoke detection - Coverage analysis of moving object silhouettes in thermal and visual registered images. Mach. Vis. Appl. 23(6): 1243-1262 (2012)- [c16]Pieterjan De Potter, Philippe Belet, Chris Poppe, Steven Verstockt, Peter Lambert, Rik Van de Walle:
Passenger Counting in Public Rail Transport - Using Head-shoulder Contour Tracking. VISAPP (1) 2012: 705-708 - 2011
- [c14]Sarah De Bruyne, Jan De Cock, Chris Poppe, Charles-Frederik Hollemeersch, Peter Lambert, Rik Van de Walle:
Compressed-Domain Shot Boundary Detection for H.264/AVC Using Intra Partitioning Maps. MMM (1) 2011: 29-39 - [c13]Chris Poppe, Charles-Frederik Hollemeersch, Sarah De Bruyne, Peter Lambert, Rik Van de Walle:
Immersive Video Conferencing Architecture Using Game Engine Technology. MMM (2) 2011: 486-488 - 2010
- [j4]Gaëtan Martens, Chris Poppe, Peter Lambert, Rik Van de Walle:
Noise- and compression-robust biological features for texture classification. Vis. Comput. 26(6-8): 915-922 (2010) - 2009
- [j2]Chris Poppe, Sarah De Bruyne, Tom Paridaens, Peter Lambert, Rik Van de Walle:
Moving object detection in the H.264/AVC compressed domain for video surveillance applications. J. Vis. Commun. Image Represent. 20(6): 428-437 (2009) - [c9]Steven Verstockt, Sarah De Bruyne, Chris Poppe, Peter Lambert, Rik Van de Walle:
Multi-view Object Localization in H.264/AVC Compressed Domain. AVSS 2009: 370-374 - [c8]Sarah De Bruyne, Chris Poppe, Steven Verstockt, Peter Lambert, Rik Van de Walle:
Estimating motion reliability to improve moving object detection in the H.264/AVC domain. ICME 2009: 330-333 - [c7]Chris Poppe, Sarah De Bruyne, Peter Lambert, Rik Van de Walle:
Effect of H.264/AVC compression on object detection for video surveillance. WIAMIS 2009: 129-132 - 2008
- [c6]Gaëtan Martens, Chris Poppe, Peter Lambert, Rik Van de Walle:
Unsupervised texture segmentation and labeling using biologically inspired features. MMSP 2008: 159-164 - [c5]Chris Poppe, Sarah De Bruyne, Gaëtan Martens, Peter Lambert, Rik Van de Walle:
Intelligent pre-processing for fast-moving object detection. Visual Information Processing 2008: 69780 - 2007
- [c4]Chris Poppe, Gaëtan Martens, Peter Lambert, Rik Van de Walle:
Improved Background Mixture Models for Video Surveillance Applications. ACCV (1) 2007: 251-260 - [c3]Chris Poppe, Gaëtan Martens, Peter Lambert, Rik Van de Walle:
Mixture Models Based Background Subtraction for Video Surveillance Applications. CAIP 2007: 28-35
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