Stem soccer$ (all stems)

28 papers:

KDD-2015-WangZHSY #topic

Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications (QW, HZ, WH, ZS, YY), pp. 2197–2206.

SAC-2015-DiasSACNL

Improving the kicking accuracy in a soccer robot (RD, JMS, JLA, BC, AJRN, NL), pp. 295–300.

CHI-2014-PerinVF #exclamation #navigation #ranking

A table!: improving temporal navigation in soccer ranking tables (CP, RV, JDF), pp. 887–896.

ICPR-2012-ItohTA #3d #graph #image #sequence #using

3D tracking of soccer players using time-situation graph in monocular image sequence (HI, TT, YA), pp. 2532–2536.

SIGMOD-2011-TeubnerM #how

How soccer players would do stream joins (JT, RM), pp. 625–636.

ICEIS-AIDSS-2010-PortelaAROG #automation #detection #framework #game studies #performance

An Intelligent Framework for Automatic Event Detection in Robotic Soccer Games — An Auxiliar Tool to Help Coaches Improve their Teams’ Performance (JP, PA, LPR, ECO, JG), pp. 244–249.

ICPR-2010-ParkY #analysis #approach #game studies #network #social

Social Network Approach to Analysis of Soccer Game (KJP, AY), pp. 3935–3938.

ICEIS-AIDSS-2008-LeoDMD #approach #image #recognition

SIFT Approach for Ball Recognition in Soccer Images (ML, TD, NM, AD), pp. 207–212.

ICPR-2008-KasuyaKKO #estimation #robust #using

Robust trajectory estimation of soccer players by using two cameras (NK, IK, YK, YO), pp. 1–4.

ICPR-2008-KongZWHJ #recognition

Group action recognition in soccer videos (YK, XZ, QW, WH, YJ), pp. 1–4.

ICPR-2008-ZhangLX #video

Collaborate ball and player trajectory extraction in broadcast soccer video (YZ, HL, CX), pp. 1–4.

CASE-2006-GuoLX #modelling #on the #petri net #using

On Modeling a Soccer Robot System Using Petri Nets (BG, ZL, SX), pp. 460–465.

ICPR-v1-2006-ShimawakiSMS #estimation #image #sequence #video

Estimation of Ball Route under Overlapping with Players and Lines in Soccer Video Image Sequence (TS, TS, JM, YS), pp. 359–362.

ICPR-v3-2004-KangLTKX #keyword #video #visual notation

Visual Keywords Labeling in Soccer Video (YLK, JHL, QT, MSK, CX), pp. 850–853.

ICPR-v3-2004-WanX #automation #generative #multimodal #performance

Efficient Multimodal Features for Automatic Soccer Highlight Generation (KW, CX), pp. 973–976.

ICPR-v4-2004-FigueroaLBCM #graph #representation #using

Tracking Soccer Players using the Graph Representation (PJF, NJL, RMLB, IC, GGM), pp. 787–790.

ICPR-v4-2004-IwaseS #detection #image #parallel

Parallel Tracking of All Soccer Players by Integrating Detected Positions in Multiple View Images (SI, HS), pp. 751–754.

ICPR-v4-2004-TongLL #detection #effectiveness #performance

An Effective and Fast Soccer Ball Detection and Tracking Method (XFT, HQL, QSL), pp. 795–798.

SAC-2003-AssfalgBCBN #automation #video

Automatic Interpretation of Soccer Video for Highlights Extraction and Annotation (JA, MB, CC, ADB, WN), pp. 769–773.

ICPR-v1-2002-DOrazioACN #algorithm #detection #image #sequence

A Ball Detection Algorithm for Real Soccer Image Sequences (TD, NA, GC, MN), pp. 210–213.

ICPR-v1-2002-MisuNZIF #data fusion #robust

Robust Tracking of Soccer Players Based on Data Fusion (TM, MN, WZ, YI, KF), pp. 556–561.

ICPR-v1-2002-YamadaSM #3d #game studies #image #parametricity #sequence #video

Tracking Players and a Ball in Video Image Sequence and Estimating Camera Parameters for 3D Interpretation of Soccer Games (AY, YS, JM), pp. 303–306.

ICPR-v2-2002-InamotoS #generative #multi

Intermediate View Generation of Soccer Scene from Multiple Videos (NI, HS), pp. 713–716.

KR-2002-Nebel

The Philosophical Soccer Player (BN), p. 631.

ICML-2001-StoneS #learning #scalability #towards

Scaling Reinforcement Learning toward RoboCup Soccer (PS, RSS), pp. 537–544.

ICPR-v1-2000-KimH00a #self #using #video

Soccer Video Mosaicing Using Self-Calibration and Line Tracking (HK, KSH), pp. 1592–1595.

ICPR-v1-2000-OhnoMS #3d #estimation #game studies

Tracking Players and Estimation of the 3D Position of a Ball in Soccer Games (YO, JM, YS), pp. 1145–1148.

ICPR-v3-2000-VandenbrouckeMP #classification #image #segmentation

Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation (NV, LM, JGP), pp. 3625–3628.