Pregled bibliografske jedinice broj: 433173
Object tracking in surveillance videos using compressed domain features from scalable bit-streams
Object tracking in surveillance videos using compressed domain features from scalable bit-streams // Signal Processing: Image Communication, 24 (2009), 10; 814-824 doi:10.1016/j.image.2009.06.006 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 433173 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Object tracking in surveillance videos using compressed domain features from scalable bit-streams
Autori
Mehmood, Khurram ; Mrak, Marta ; Čalić, Janko ; Kondoz, Ahmet
Izvornik
Signal Processing: Image Communication (0923-5965) 24
(2009), 10;
814-824
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Object tracking; Scalable video coding; Compressed domain analysis; Motion vectors
Sažetak
Recent developments in the video coding technology brought new possibilities of utilising inherently embedded features of the encoded bit-stream in applications such as video adaptation and analysis. Due to the proliferation of surveillance videos there is a strong demand for highly efficient and reliable algorithms for object tracking. This paper presents a new approach for the fast compressed domain analysis utilising motion data from the encoded bit-streams in order to achieve low-processing complexity of object tracking in the surveillance videos. The algorithm estimates the trajectory of video objects by using compressed domain motion vectors extracted directly from standard H.264/MPEG-4 Advanced Video Coding (AVC) and Scalable Video Coding (SVC) bit-streams. The experimental results show comparable tracking precision when evaluated against the standard algorithms in uncompressed domain, while maintaining low computational complexity and fast processing time, thus making the algorithm suitable for real time and streaming applications where good estimates of object trajectories have to be computed fast.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marta Mrak
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- INSPEC, Pascal, Scopus, Social SciSearch