Monocular Pedestrian Detection: Survey and Experiments

Enzweiler, Markus; Gavrila, Dariu M.

doi:10.1109/tpami.2008.260

Cited by 1,125 publications

(599 citation statements)

References 81 publications

(264 reference statements)

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“…Tracking in sports and games requires a different approach than those used in related fields where motion can be more predictable, such as in pedestrian tracking (see [17] for an overview). In games, the movement exhibited by the players is much more varied.…”

Section: Behavior Analysis In Gamesmentioning

confidence: 99%

Automatic behavior analysis in tag games: from traditional spaces to interactive playgrounds

Moreno

Poppe

2016

J Multimodal User Interfaces

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Tag is a popular children's playground game. It revolves around taggers that chase and then tag runners, upon which their roles switch. There are many variations of the game that aim to keep children engaged by presenting them with challenges and different types of gameplay. We argue that the introduction of sensing and floor projection technology in the playground can aid in providing both variation and challenge. To this end, we need to understand players' behavior in the playground and steer the interactions using projections accordingly. In this paper, we first analyze the behavior of taggers and runners in a traditional tag setting. We focus on behavioral cues that differ between the two roles. Based on these, we present a probabilistic role recognition model. We then move to an interactive setting and evaluate the model on tag sessions in an interactive tag playground. Our model achieves 77.96 % accuracy, which demonstrates the feasibility of our approach. We identify several avenues for improvement. Eventually, these should lead to a more thorough understanding of what happens in the playground, not only regarding player roles but also when the play breaks down, for example when players are bored or cheat.

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Section: Behavior Analysis In Gamesmentioning

confidence: 99%

Automatic behavior analysis in tag games: from traditional spaces to interactive playgrounds

Moreno

Poppe

2016

J Multimodal User Interfaces

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“…Mikolajczyk and Schmid [2] provide an extended survey on the different local descriptors and their evaluation. As for pedestrian detection, Enzweiler and Gavrila [3] as well as Gandhi [4] provide in-depth surveys and evaluation of the state-of-the-art pedestrian detection frameworks.…”

Section: Related Workmentioning

confidence: 99%

A Novel Pedestrian Detector on Low-Resolution Images: Gradient LBP Using Patterns of Oriented Edges

Boudissa

Tan

Kim

et al. 2013

IEICE Trans. Inf. & Syst.

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SUMMARYThis paper introduces a simple algorithm for pedestrian detection on low resolution images. The main objective is to create a successful means for real-time pedestrian detection. While the framework of the system consists of edge orientations combined with the local binary patterns (LBP) feature extractor, a novel way of selecting the threshold is introduced. Using the mean-variance of the background examples this threshold improves significantly the detection rate as well as the processing time. Furthermore, it makes the system robust to uniformly cluttered backgrounds, noise and light variations. The test data is the INRIA pedestrian dataset and for the classification, a support vector machine with a radial basis function (RBF) kernel is used. The system performs at state-of-the-art detection rates while being intuitive as well as very fast which leaves sufficient processing time for further operations such as tracking and danger estimation.

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“…The evaluations are carried out on the INRIA [1] and Daimler [26] pedestrian dataset. Though Daimler dataset is captured on the running vehicle instead of in surveillance scenario, it can test proposed detector's performance for different applications.…”

Section: Experiments Setup and Evaluation Criteriamentioning

confidence: 99%

A Real-Time Human Detection System for Video

Zeng

Wang

Lin

et al. 2012

IEICE Trans. Inf. & Syst.

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SUMMARYThis work presents a real-time human detection system for VGA (Video Graphics Array, 640 × 480) video, which well suits visual surveillance applications. To achieve high running speed and accuracy, firstly we design multiple fast scalar feature types on the gradient channels, and experimentally identify that NOGCF (Normalized Oriented Gradient Channel Feature) has better performance with Gentle AdaBoost in cascaded classifiers. A confidence measure for cascaded classifiers is developed and utilized in the subsequent tracking stage. Secondly, we propose to use speedup techniques including a detector pyramid for multi-scale detection and channel compression for integral channel calculation respectively. Thirdly, by integrating the detector's discrete detected humans and continuous detection confidence map, we employ a two-layer tracking by detection algorithm for further speedup and accuracy improvement. Compared with other methods, experiments show the system is significantly faster with 20 fps running speed in VGA video and has better accuracy as well.

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Monocular Pedestrian Detection: Survey and Experiments

Cited by 1,125 publications

References 81 publications

Automatic behavior analysis in tag games: from traditional spaces to interactive playgrounds

Automatic behavior analysis in tag games: from traditional spaces to interactive playgrounds

A Novel Pedestrian Detector on Low-Resolution Images: Gradient LBP Using Patterns of Oriented Edges

A Real-Time Human Detection System for Video

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