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Many conventional human detection methods use features based on gradients, such as histograms of oriented gradients (HOG), but human occlusions and complex backgrounds make accurat...
Abstract. This paper presents a novel descriptor for human detection in video sequence. It is referred to as spatial-temporal granularity -tunable gradients partition (STGGP), whic...
Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikk...
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
In this paper, we describe the Toshiba event detection system for TRECVID surveillance event detection task [1]. Our system consists of four components: (1) a flexible and robust ...
The evaluation results of a system for tracking humans in surveillance videos are presented. Moving blobs are detected based on adaptive background modeling. A shape based multi-vi...
Bo Wu, Xuefeng Song, Vivek Kumar Singh, Ram Nevati...
We describe a novel method for human detection in single images which can detect full bodies as well as close-up views in the presence of clutter and occlusion. Humans are modeled ...
Krystian Mikolajczyk, Cordelia Schmid, Andrew Ziss...
This paper presents the evaluation results of a system for tracking humans in surveillance videos. Moving blobs are detected based on adaptive background modeling. A shape based mu...
Bo Wu, Vivek Kumar Singh, C.-H. Kuo, Li Zhang, Sun...
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
In this paper we propose a novel feature, called directional entropy feature (DEF), to improve the performance of human detection under complicated background in images. DEF descr...
Abstract. In this paper, we present a fully automatic approach to multiple human detection and tracking in high density crowds in the presence of extreme occlusion. Human detection...