54 citations · 91 across the 6 of their papers we have counts for
6 papers
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis
Guojun Yin, Bin Liu, Huihui Zhu +2
Multiple-object tracking and behavior analysis have been the essential parts of surveillance video analysis for public security and urban management. With billions of surveillance…
What and Where: A Context-based Recommendation System for Object Insertion
Song-Hai Zhang, Zhengping Zhou, Bin Liu +4
In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes…
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism
Qi Chu, Wanli Ouyang, Hongsheng Li +3
In this paper, we propose a CNN-based framework for online MOT. This framework utilizes the merits of single object trackers in adapting appearance models and searching for target…
Vision-based Traffic Flow Prediction using Dynamic Texture Model and Gaussian Process
Bin Liu, Hao Ji, Yi Dai
In this paper, we describe work in progress towards a real-time vision-based traffic flow prediction (TFP) system. The proposed method consists of three elemental operators, that a…
Robust video object tracking via Bayesian model averaging based feature fusion
Yi Dai, Bin Liu
In this article, we are concerned with tracking an object of interest in video stream. We propose an algorithm that is robust against occlusion, the presence of confusing colors, a…
Robust video object tracking using particle filter with likelihood based feature fusion and adaptive template updating
Yi Dai, Bin Liu
A robust algorithm solution is proposed for tracking an object in complex video scenes. In this solution, the bootstrap particle filter (PF) is initialized by an object detector, w…