TY - GEN
T1 - Low bit-rate motion block detection for uncompressed indoor surveillance
AU - Su, Jia
AU - Liu, Qin
AU - Ikenaga, Takeshi
N1 - Publisher Copyright:
© 2010 IEEE.
PY - 2010
Y1 - 2010
N2 - A large number of surveillance applications requires narrow channel transmission and limited capacity storage, since very low bit-rate techniques becomes necessary. For many surveillance applications, motive objects contain most interest information. This paper proposed an enhanced motion block detector, which includes a pre-stage for adaptively classifying macroblocks into motive and static blocks. In this pre-stage, linear divided difference filter and weighted erosion filter are proposed to release from the foreground clash and lightening noise respectively. For the unimportant static macroblock, low bit-rate skip mode has been chosen as the best mode. Simulation results shows, compared to the conventional work, it can achieve 24%-38% bit-rate saving, 8%-44% ME time saving and higher detection accuracy for uncompressed surveillance videos.
AB - A large number of surveillance applications requires narrow channel transmission and limited capacity storage, since very low bit-rate techniques becomes necessary. For many surveillance applications, motive objects contain most interest information. This paper proposed an enhanced motion block detector, which includes a pre-stage for adaptively classifying macroblocks into motive and static blocks. In this pre-stage, linear divided difference filter and weighted erosion filter are proposed to release from the foreground clash and lightening noise respectively. For the unimportant static macroblock, low bit-rate skip mode has been chosen as the best mode. Simulation results shows, compared to the conventional work, it can achieve 24%-38% bit-rate saving, 8%-44% ME time saving and higher detection accuracy for uncompressed surveillance videos.
KW - Divided difference filter
KW - Erosion filter
KW - H.264
KW - Video survillance
UR - http://www.scopus.com/inward/record.url?scp=78751653217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78751653217&partnerID=8YFLogxK
U2 - 10.1109/ICCSA.2010.77
DO - 10.1109/ICCSA.2010.77
M3 - Conference contribution
AN - SCOPUS:78751653217
T3 - Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010
SP - 327
EP - 330
BT - Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010
A2 - Iglesias, Andres
A2 - Gervasi, Osvaldo
A2 - Gavrilova, Marina L.
A2 - Taniar, David
A2 - Apduhan, Bernady O.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Computational Science and Its Applications, ICCSA 2010
Y2 - 23 March 2010 through 26 March 2010
ER -