Event detection : IPG-BJTU at Trecvid 2010

Event detection: BJTU-SED at Trecvid 2011

In trecvid 2011, our team takes part in 2 event detection competition including pointing and cell to ear. We build two systems to recognize these events separately. For pointing, we extract texture and silhouette to recognize this action. And for cell to ear, we use orientation of optical flow and SVM classifier to finish this work.

Event detection: BJTU-SED at Trecvid 2012

In trecvid 2012, our team takes part in 2 event detection competition including embrace and pointing. We build two systems to recognize these events separately. For embracing, we use a probability accumulated method. For pointing, we use texture and silhouette. Different from the former works, the two systems are interactive systems and feedback strategy is used in the detection of events. In t...

NHK STRL at TRECVID 2010: Semantic Indexing and Surveillance Event Detection

SFU at TRECVid 2010: Surveillance Event Detection

This paper describes the SFU entry for the TRECVid 2010 surveillance event detection challenge. We focus on detecting the ”PresonRuns” event. The system has three stages. First, a pre-processing step is performed to extract moving candidate space-time regions using background subtraction, optical flow, and photogrammetric context. A short clip representation is constructed for each moving candi...

INRIA-WILLOW at TRECVID 2010 : Surveillance Event Detection

This notebook paper presents a system evaluated in the Surveillance Event Detection (SED) task of TRECVid 2010 campaign. We investigate a generic statistical approach applied to seven event classes defined by the SED task. Our video representation is based on local space-time descriptors which are vectorquantized and aggregated into histograms within short temporal windows and spatial regions d...