Naslov
Histogram-Based Description of Local Space-Time Appearance

Autori
Brkić, Karla ; Pinz, Axel ; Šegvić, Siniša ; Kalafatić, Zoran

Izvornik
Lecture Notes in Computer Science (0302-9743) 6688 (2011); 206-217

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
computer vision; motion analysis; histogram based description

Sažetak
We introduce a novel local spatio-temporal descriptor intended to model the spatio-temporal behavior of a tracked object of interest in a general manner. The basic idea of the descriptor is the accumulation of histograms of an image function value through time. The histograms are calculated over a regular grid of patches inside the bounding box of the object and normalized to represent empirical prob- ability distributions. The number of grid patches is fixed, so the descriptor is invariant to changes in spatial scale. Depending on the temporal complexity/details at hand, we introduce "first order STA descriptors" that describe the average distribution of a chosen image function over time, and "second order STA descriptors" that model the distribution of each histogram bin over time. We discuss entropy and 2 as well-suited similarity and saliency measures for our descriptors. Our experimental validation ranges from the patch- to the object-level. Our results show that STA, this simple, yet powerful novel description of local space-time appearance is well-suited to machine learning and will be useful in video- analysis, including potential applications of object detection, tracking, and background modeling.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA