INRIA-WILLOW at TRECVID 2010 : Surveillance Event Detection

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...

'Person Runs' detection for the TRECVID Surveillance Event Detection task

We discuss an event detection approach based on local feature modeling, which is based on spatio-temporal cuboids and perspective normalization (QMUL-ACTIVA 3 / p-baseline 1). Motion information is compared against examples of events learned from a training dataset to define a similarity measure. This similarity measure is then analyzed in both space and time to identify frames containing insta...

Toshiba at TRECVID 2008: Surveillance Event Detection Task

In this paper, we describe the Toshiba event detection system for TRECVID surveillance event detection task [1] that detects three TRECVID required events (E05:PersonRuns, E19:ElevatorNoEntry, and E20:OpposingFlow). Our system (“Toshiba_1 p-cohog_1”) consists of four components: (1) robust change detection based on the combination of pixel intensity histogram, PTESC (Peripheral TErnary Sign Cor...

PKU@TRECVID2010: Pair-Wise Event Detection in Surveillance Video

In this paper, we describe our system for the surveillance events detection task in TRECVid 2010. We focused on pair-wise events (e.g., PeopleMeet, PeopleSplitUp, Embrace) that need to explore the relationship between two active persons. For our team had participated in the TRECVid SED task in 2009, we developed the system based on the old one. The improvements are three-fold. First, we refined...